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Udemy Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

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Added Saturday 24th June 2023 04:05:00 PM (3 years ago)
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Torrent Files (633)
FilenameSize
[CourseClub.Me].url122 bytes
[FreeCourseSite.com].url127 bytes
[GigaCourse.Com].url49 bytes
1 - Welcome English.vtt3.1 KB
1 - Welcome.mp433.3 MB
2 - General Introduction English.vtt29.6 KB
2 - General Introduction.mp4216.8 MB
3 - Link to Code.html438 bytes
48 - Data logging English.vtt39.0 KB
48 - Data logging.mp4287.2 MB
49 - Viewing model graphs English.vtt3.4 KB
49 - Viewing model graphs.mp421.5 MB
50 - Hyperparameter tuning English.vtt23.1 KB
50 - Hyperparameter tuning.mp4195.0 MB
51 - Profiling and other visualizations with Tensorboard English.vtt8.9 KB
51 - Profiling and other visualizations with Tensorboard.mp469.2 MB
52 - Experiment tracking English.vtt64.3 KB
52 - Experiment tracking.mp4469.7 MB
53 - Hyperparameter tuning with wandb English.vtt30.8 KB
53 - Hyperparameter tuning with wandb.mp4222.6 MB
54 - Dataset Versioning with Weights and Biases and TensorFlow 2 English.vtt50.4 KB
54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4329.5 MB
55 - Model Versioning with Weights and Biases and TensorFlow 2 English.vtt19.5 KB
55 - Model Versioning with Weights and Biases and TensorFlow 2.mp4137.5 MB
[CourseClub.Me].url122 bytes
[FreeCourseSite.com].url127 bytes
[GigaCourse.Com].url49 bytes
56 - Data preparation English.vtt32.1 KB
56 - Data preparation.mp4225.5 MB
57 - Modeling and training English.vtt59.9 KB
57 - Modeling and training.mp4371.9 MB
58 - Data augmentation English.vtt20.2 KB
58 - Data augmentation.mp4142.1 MB
59 - Tensorflow records English.vtt40.3 KB
59 - Tensorflow records.mp4293.7 MB
60 - Alexnet English.vtt18.1 KB
60 - Alexnet.mp4183.4 MB
61 - Vggnet English.vtt12.3 KB
61 - Vggnet.mp4116.5 MB
62 - Resnet English.vtt35.6 KB
62 - Resnet.mp4351.4 MB
63 - Coding Resnets English.vtt26.6 KB
63 - Coding Resnets.mp4180.3 MB
64 - Mobilenet English.vtt27.3 KB
64 - Mobilenet.mp4206.7 MB
65 - Efficientnet English.vtt18.5 KB
65 - Efficientnet.mp4189.2 MB
66 - Leveraging pretrained models English.vtt25.2 KB
66 - Leveraging pretrained models.mp4163.5 MB
67 - Finetuning English.vtt14.0 KB
67 - Finetuning.mp4112.1 MB
68 - Visualizing intermediate layers English.vtt21.2 KB
68 - Visualizing intermediate layers.mp4158.0 MB
69 - Gradcam method English.vtt24.0 KB
69 - Gradcam method.mp4226.8 MB
70 - Ensembling English.vtt6.0 KB
70 - Ensembling.mp445.2 MB
71 - Class Imbalance English.vtt12.8 KB
71 - Class Imbalance.mp4100.6 MB
72 - Understanding VITs English.vtt56.7 KB
72 - Understanding VITs.mp4422.0 MB
73 - Building VITs from scratch English.vtt57.2 KB
73 - Building VITs from scratch.mp4398.8 MB
74 - Finetuning Huggingface transformers English.vtt27.1 KB
74 - Finetuning Huggingface transformers.mp4206.6 MB
75 - Model evaluation with wandb English.vtt25.1 KB
75 - Model evaluation with wandb.mp4140.3 MB
76 - Data efficient transformers English.vtt9.2 KB
76 - Data efficient transformers.mp472.8 MB
77 - Swin transformers English.vtt17.0 KB
77 - Swin transformers.mp4192.3 MB
78 - Model Conversion from Tensorflow to Onnx English.vtt26.1 KB
78 - Model Conversion from Tensorflow to Onnx.mp4205.5 MB
79 - Understanding quantization English.vtt29.3 KB
79 - Understanding quantization.mp4268.2 MB
80 - Practical quantization of Onnx English.vtt9.1 KB
80 - Practical quantization of Onnx.mp465.0 MB
81 - Quantization aware training English.vtt20.0 KB
81 - Quantization aware training.mp4160.5 MB
82 - Conversion to Tensorflow Lite English.vtt20.0 KB
82 - Conversion to Tensorflow Lite.mp4154.7 MB
83 - What is an API English.vtt21.9 KB
83 - What is an API.mp4127.9 MB
84 - Building the Emotions Detection API with Fastapi English.vtt88.8 KB
84 - Building the Emotions Detection API with Fastapi.mp4674.6 MB
85 - Deploy the Emotions Detection API to the Cloud English.vtt13.6 KB
85 - Deploy the Emotions Detection API to the Cloud.mp4100.2 MB
86 - Load tesing the Emotions Detection API with Locust English.vtt15.6 KB
86 - Load tesing the Emotions Detection API with Locust.mp4106.3 MB
87 - Understanding object detection English.vtt7.4 KB
87 - Understanding object detection.mp452.4 MB
88 - YOLO paper English.vtt68.1 KB
88 - YOLO paper.mp4572.0 MB
89 - Dataset Preparation English.vtt47.1 KB
89 - Dataset Preparation.mp4401.1 MB
90 - YOLO Resnet English.vtt6.0 KB
90 - YOLO Resnet.mp453.9 MB
91 - Data augmentation English.vtt26.7 KB
91 - Data augmentation.mp4219.4 MB
92 - Testing English.vtt35.5 KB
92 - Testing.mp4308.8 MB
93 - Data generators English.vtt5.2 KB
93 - Data generators.mp451.4 MB
10 - Sparse Tensors English.vtt3.1 KB
10 - Sparse Tensors.mp418.0 MB
11 - String Tensors English.vtt3.6 KB
11 - String Tensors.mp423.0 MB
12 - Tensorflow Variables English.vtt8.2 KB
12 - Tensorflow Variables.mp444.9 MB
4 - Tensor Basics English.vtt7.2 KB
4 - Tensor Basics.mp443.5 MB
5 - Tensor Initialization and Casting English.vtt66.9 KB
5 - Tensor Initialization and Casting.mp4406.6 MB
6 - Indexing English.vtt18.5 KB
6 - Indexing.mp477.6 MB
7 - Maths Operations in Tensorflow English.vtt38.2 KB
7 - Maths Operations in Tensorflow.mp4215.0 MB
8 - Linear Algebra Operations in Tensorflow English.vtt68.6 KB
8 - Linear Algebra Operations in Tensorflow.mp4371.5 MB
9 - Ragged Tensors English.vtt13.6 KB
9 - Ragged Tensors.mp478.5 MB
94 - Image Segmentation Oxford IIIT Pet Dataset English.vtt8.2 KB
94 - Image Segmentation Oxford IIIT Pet Dataset.mp460.7 MB
95 - UNET Model English.vtt17.5 KB
95 - UNET Model.mp4121.5 MB
96 - Training and optimization English.vtt5.6 KB
96 - Training and optimization.mp444.7 MB
97 - Data augmentation and dropout English.vtt4.9 KB
97 - Data augmentation and dropout.mp429.5 MB
98 - Class weighting English.vtt15.9 KB
98 - Class weighting.mp4132.1 MB
100 - Dataset preparation English.vtt44.7 KB
100 - Dataset preparation.mp4323.9 MB
101 - CSRNET English.vtt8.3 KB
101 - CSRNET.mp475.2 MB
102 - Training and optimization English.vtt6.7 KB
102 - Training and optimization.mp451.9 MB
103 - Data augmentation English.vtt30.4 KB
103 - Data augmentation.mp4260.9 MB
99 - People Counting Shangai Tech Dataset English.vtt12.7 KB
99 - People Counting Shangai Tech Dataset.mp483.4 MB
104 - Introduction to image generation English.vtt3.5 KB
104 - Introduction to image generation.mp427.3 MB
105 - Understanding variational autoencoders English.vtt16.3 KB
105 - Understanding variational autoencoders.mp4117.4 MB
106 - VAE training and digit generation English.vtt45.3 KB
106 - VAE training and digit generation.mp4298.6 MB
107 - Latent space visualizations English.vtt15.3 KB
107 - Latent space visualizations.mp4113.2 MB
108 - How GANs work English.vtt22.1 KB
108 - How GANs work.mp4232.4 MB
109 - Improving GAN training English.vtt26.2 KB
109 - Improving GAN training.mp4167.9 MB
110 - Face generation with GANs English.vtt56.0 KB
110 - Face generation with GANs.mp4408.6 MB
[CourseClub.Me].url122 bytes
[FreeCourseSite.com].url127 bytes
[GigaCourse.Com].url49 bytes
111 - Understanding sentiment analysis English.vtt12.2 KB
111 - Understanding sentiment analysis.mp490.0 MB
112 - Text standardization English.vtt15.9 KB
112 - Text standardization.mp4123.4 MB
113 - Tokenization English.vtt18.3 KB
113 - Tokenization.mp4123.6 MB
114 - Onehot encoding and Bag of Words English.vtt16.2 KB
114 - Onehot encoding and Bag of Words.mp4124.7 MB
115 - Term frequency Inverse Document frequency TFIDF English.vtt10.6 KB
115 - Term frequency Inverse Document frequency TFIDF.mp496.3 MB
116 - Embeddings English.vtt11.8 KB
116 - Embeddings.mp492.5 MB
117 - How Recurrent neural networks work English.vtt21.6 KB
117 - How Recurrent neural networks work.mp4123.5 MB
118 - Data preparation English.vtt30.5 KB
118 - Data preparation.mp4206.5 MB
119 - Building and training RNNs English.vtt25.8 KB
119 - Building and training RNNs.mp4167.1 MB
120 - Advanced RNNs LSTM and GRU English.vtt38.1 KB
120 - Advanced RNNs LSTM and GRU.mp4227.0 MB
121 - 1D Convolutional Neural Network English.vtt33.9 KB
121 - 1D Convolutional Neural Network.mp4283.9 MB
122 - Understanding Word2vec English.vtt27.6 KB
122 - Understanding Word2vec.mp4211.1 MB
123 - Integrating pretrained Word2vec embeddings English.vtt14.1 KB
123 - Integrating pretrained Word2vec embeddings.mp491.4 MB
124 - Testing English.vtt8.2 KB
124 - Testing.mp453.0 MB
125 - Visualizing embeddings English.vtt17.3 KB
125 - Visualizing embeddings.mp4149.7 MB
126 - Understanding Machine Translation English.vtt15.2 KB
126 - Understanding Machine Translation.mp4101.4 MB
127 - Data preparation English.vtt29.2 KB
127 - Data preparation.mp4165.8 MB
128 - Building training and testing Model English.vtt33.4 KB
128 - Building training and testing Model.mp4229.0 MB
129 - Understanding BLEU Score English.vtt12.0 KB
129 - Understanding BLEU Score.mp474.4 MB
130 - Coding BLEU score from scratch English.vtt16.2 KB
130 - Coding BLEU score from scratch.mp4111.5 MB
131 - Understanding Bahdanau Attention English.vtt21.6 KB
131 - Understanding Bahdanau Attention.mp4180.3 MB
132 - Building training and testing Bahdanau Attention English.vtt24.5 KB
132 - Building training and testing Bahdanau Attention.mp4179.4 MB
133 - Understanding Transformer Networks English.vtt69.9 KB
133 - Understanding Transformer Networks.mp4607.0 MB
134 - Building training and testing Transformers English.vtt66.9 KB
134 - Building training and testing Transformers.mp4557.0 MB
135 - Building Transformers with Custom Attention Layer English.vtt22.7 KB
135 - Building Transformers with Custom Attention Layer.mp4183.1 MB
136 - Visualizing Attention scores English.vtt15.0 KB
136 - Visualizing Attention scores.mp487.3 MB
137 - Sentiment analysis with Transformer encoder English.vtt9.7 KB
137 - Sentiment analysis with Transformer encoder.mp466.8 MB
138 - Sentiment analysis with LSH Attention English.vtt81.1 KB
138 - Sentiment analysis with LSH Attention.mp4539.2 MB
13 - Task Understanding English.vtt5.1 KB
13 - Task Understanding.mp430.5 MB
14 - Data Preparation English.vtt38.5 KB
14 - Data Preparation.mp4276.3 MB
15 - Linear Regression Model English.vtt16.8 KB
15 - Linear Regression Model.mp4105.1 MB
16 - Error sanctioning English.vtt16.0 KB
16 - Error sanctioning.mp495.1 MB
17 - Training and Optimization English.vtt17.2 KB
17 - Training and Optimization.mp4116.7 MB
18 - Performance Measurement English.vtt3.1 KB
18 - Performance Measurement.mp421.9 MB
19 - Validation and testing English.vtt21.3 KB
19 - Validation and testing.mp4135.7 MB
20 - Corrective Measures English.vtt26.9 KB
20 - Corrective Measures.mp4195.9 MB
139 - Understanding Transfer Learning English.vtt13.8 KB
139 - Understanding Transfer Learning.mp472.5 MB
140 - Ulmfit English.vtt5.1 KB
140 - Ulmfit.mp445.1 MB
141 - Gpt English.vtt22.4 KB
141 - Gpt.mp4119.1 MB
142 - Bert English.vtt21.2 KB
142 - Bert.mp4140.9 MB
143 - Albert English.vtt5.2 KB
143 - Albert.mp453.8 MB
144 - Gpt2 English.vtt13.1 KB
144 - Gpt2.mp4136.5 MB
145 - Roberta English.vtt2.3 KB
145 - Roberta.mp420.0 MB
146 - T5 English.vtt9.1 KB
146 - T5.mp475.3 MB
147 - Data Preparation English.vtt50.8 KB
147 - Data Preparation.mp4335.0 MB
148 - Buildingtraining and testing model English.vtt30.9 KB
148 - Buildingtraining and testing model.mp4216.6 MB
149 - Problem Understanding and Data Preparation English.vtt20.2 KB
149 - Problem Understanding and Data Preparation.mp4146.3 MB
150 - Buildingtraining and testing model English.vtt10.8 KB
150 - Buildingtraining and testing model.mp484.0 MB
151 - Problem Understanding and Data Preparation English.vtt29.9 KB
151 - Problem Understanding and Data Preparation.mp4187.9 MB
152 - Buildingtraining and testing model English.vtt14.7 KB
152 - Buildingtraining and testing model.mp497.9 MB
153 - Problem Understanding and Data Preparation English.vtt67.7 KB
153 - Problem Understanding and Data Preparation.mp4605.1 MB
154 - Buildingtraining and testing model English.vtt13.9 KB
154 - Buildingtraining and testing model.mp4109.3 MB
155 - Problem Understanding and Sentence Embeddings English.vtt40.1 KB
155 - Problem Understanding and Sentence Embeddings.mp4311.3 MB
156 - Dataset preparation English.vtt41.4 KB
156 - Dataset preparation.mp4331.2 MB
157 - Buildingtraining and testing model English.vtt49.2 KB
157 - Buildingtraining and testing model.mp4396.1 MB
158 - Problem Understanding and Data Preparation English.vtt25.5 KB
158 - Problem Understanding and Data Preparation.mp4185.7 MB
159 - Buildingtraining and testing model English.vtt29.3 KB
159 - Buildingtraining and testing model.mp4253.4 MB
160 - Problem Understanding and Data Preparation English.vtt10.1 KB
160 - Problem Understanding and Data Preparation.mp465.7 MB
161 - Buildingtraining and testing model English.vtt7.9 KB
161 - Buildingtraining and testing model.mp454.9 MB
162 - Problem Understanding and Data Preparation English.vtt29.4 KB
162 - Problem Understanding and Data Preparation.mp4236.9 MB
163 - Buildingtraining and testing model English.vtt16.7 KB
163 - Buildingtraining and testing model.mp4134.7 MB
164 - Welcome English.vtt2.0 KB
164 - Welcome.mp45.1 MB
165 - General Introduction English.vtt11.8 KB
165 - General Introduction.mp454.0 MB
166 - Applications of Deep Learning English.vtt8.6 KB
166 - Applications of Deep Learning.mp470.5 MB
167 - About this Course English.vtt9.7 KB
167 - About this Course.mp470.9 MB
168 - Link to Code.html107 bytes
21 - Task understanding English.vtt9.2 KB
21 - Task understanding.mp463.7 MB
22 - Data Preparation English.vtt23.4 KB
22 - Data Preparation.mp4160.6 MB
23 - Data visualization English.vtt3.0 KB
23 - Data visualization.mp416.8 MB
24 - Data Processing English.vtt9.1 KB
24 - Data Processing.mp454.5 MB
25 - How and Why Convolutional Neural Networks work English.vtt52.0 KB
25 - How and Why Convolutional Neural Networks work.mp4348.7 MB
26 - Building Convnets in Tensorflow English.vtt7.3 KB
26 - Building Convnets in Tensorflow.mp444.7 MB
27 - Binary Crossentropy loss English.vtt8.5 KB
27 - Binary Crossentropy loss.mp447.1 MB
28 - Convnet training English.vtt15.1 KB
28 - Convnet training.mp4113.8 MB
29 - Model evaluation and testing English.vtt6.0 KB
29 - Model evaluation and testing.mp439.7 MB
30 - Loading and Saving Tensorflow Models to Google Drive English.vtt20.3 KB
30 - Loading and Saving Tensorflow Models to Google Drive.mp4129.0 MB
169 - Python Installation English.vtt4.3 KB
169 - Python Installation.mp418.1 MB
170 - Variables and Basic Operators English.vtt28.1 KB
170 - Variables and Basic Operators.mp4134.9 MB
171 - Conditional Statements English.vtt17.7 KB
171 - Conditional Statements.mp489.6 MB
172 - Loops English.vtt22.4 KB
172 - Loops.mp493.2 MB
173 - Methods English.vtt21.5 KB
173 - Methods.mp488.4 MB
174 - Objects and Classes English.vtt14.9 KB
174 - Objects and Classes.mp459.1 MB
175 - Operator Overloading English.vtt11.9 KB
175 - Operator Overloading.mp452.9 MB
176 - Method Types English.vtt9.2 KB
176 - Method Types.mp448.3 MB
177 - Inheritance English.vtt10.9 KB
177 - Inheritance.mp457.3 MB
178 - Encapsulation English.vtt2.1 KB
178 - Encapsulation.mp411.6 MB
179 - Polymorphism English.vtt2.5 KB
179 - Polymorphism.mp413.4 MB
180 - Decorators English.vtt18.3 KB
180 - Decorators.mp490.7 MB
181 - Generators English.vtt9.4 KB
181 - Generators.mp446.6 MB
182 - Numpy Package English.vtt50.5 KB
182 - Numpy Package.mp4207.9 MB
183 - Matplotlib Introduction English.vtt4.9 KB
183 - Matplotlib Introduction.mp421.5 MB
184 - Task Machine Learning Development Life Cycle English.vtt14.7 KB
184 - Task Machine Learning Development Life Cycle.mp480.3 MB
185 - Data Machine Learning Development Life Cycle English.vtt16.5 KB
185 - Data Machine Learning Development Life Cycle.mp482.7 MB
186 - Model Machine Learning Development Life Cycle English.vtt19.6 KB
186 - Model Machine Learning Development Life Cycle.mp498.6 MB
187 - Error Sanctioning Machine Learning Development Life Cycle English.vtt29.4 KB
187 - Error Sanctioning Machine Learning Development Life Cycle.mp4178.9 MB
188 - Linear Regression English.vtt45.6 KB
188 - Linear Regression.mp4241.0 MB
189 - Logistic Regression English.vtt36.1 KB
189 - Logistic Regression.mp4229.4 MB
190 - Linear Regression Practice English.vtt26.6 KB
190 - Linear Regression Practice.mp4130.2 MB
191 - Logistic Regression Practice English.vtt14.5 KB
191 - Logistic Regression Practice.mp472.4 MB
192 - Optimization English.vtt21.8 KB
192 - Optimization.mp4126.9 MB
193 - Performance Measurement English.vtt37.8 KB
193 - Performance Measurement.mp4210.2 MB
194 - Validation and Testing English.vtt9.0 KB
194 - Validation and Testing.mp442.6 MB
195 - Softmax Regression Data English.vtt5.6 KB
195 - Softmax Regression Data.mp448.6 MB
196 - Softmax Regression Modeling English.vtt7.5 KB
196 - Softmax Regression Modeling.mp436.3 MB
197 - Softmax Regression Errror Sanctioning English.vtt9.9 KB
197 - Softmax Regression Errror Sanctioning.mp447.1 MB
198 - Softmax Regression Training and Optimization English.vtt37.0 KB
198 - Softmax Regression Training and Optimization.mp4207.1 MB
199 - Softmax Regression Performance Measurement English.vtt9.8 KB
199 - Softmax Regression Performance Measurement.mp462.6 MB
200 - Neural Networks Modeling English.vtt29.5 KB
200 - Neural Networks Modeling.mp4186.3 MB
201 - Neural Networks Error Sanctioning English.vtt2.1 KB
201 - Neural Networks Error Sanctioning.mp48.5 MB
202 - Neural Networks Training and Optimization English.vtt50.3 KB
202 - Neural Networks Training and Optimization.mp4366.1 MB
203 - Neural Networks Training and Optimization Practicals English.vtt36.8 KB
203 - Neural Networks Training and Optimization Practicals.mp4212.6 MB
204 - Neural Networks Performance Measurement English.vtt3.9 KB
204 - Neural Networks Performance Measurement.mp422.2 MB
205 - Neural Networks Validation and testing English.vtt9.4 KB
205 - Neural Networks Validation and testing.mp459.0 MB
206 - Solving Overfitting and Underfitting English.vtt25.7 KB
206 - Solving Overfitting and Underfitting.mp4164.4 MB
207 - Shuffling English.vtt1.2 KB
207 - Shuffling.mp45.8 MB
208 - Ensembling English.vtt748 bytes
208 - Ensembling.mp44.5 MB
209 - Weight Initialization English.vtt17.2 KB
209 - Weight Initialization.mp4103.2 MB
210 - Data Imbalance English.vtt5.2 KB
210 - Data Imbalance.mp427.4 MB
211 - Learning rate decay English.vtt2.6 KB
211 - Learning rate decay.mp412.4 MB
212 - Normalization English.vtt17.7 KB
212 - Normalization.mp4100.8 MB
213 - Hyperparameter tuning English.vtt3.3 KB
213 - Hyperparameter tuning.mp414.5 MB
214 - In Class Exercise English.vtt4.6 KB
214 - In Class Exercise.mp427.6 MB
215 - TensorFlow Installation English.vtt13.0 KB
215 - TensorFlow Installation.mp495.0 MB
216 - Introduction to TensorFlow English.vtt18.0 KB
216 - Introduction to TensorFlow.mp4107.7 MB
217 - TensorFlow Basics English.vtt29.9 KB
217 - TensorFlow Basics.mp4120.1 MB
218 - Training a Neural Network with TensorFlow English.vtt47.2 KB
218 - Training a Neural Network with TensorFlow.mp4231.5 MB
219 - Tiny Imagenet Dataset English.vtt10.3 KB
219 - Tiny Imagenet Dataset.mp485.4 MB
220 - TinyImagenet Preparation English.vtt23.4 KB
220 - TinyImagenet Preparation.mp4131.0 MB
221 - Introduction to Convolutional Neural Networks English.vtt67.9 KB
221 - Introduction to Convolutional Neural Networks.mp4359.7 MB
222 - Error Sanctioning English.vtt6.9 KB
222 - Error Sanctioning.mp426.2 MB
223 - Training Validation and Performance Measurement English.vtt3.7 KB
223 - Training Validation and Performance Measurement.mp420.9 MB
224 - Reducing overfitting English.vtt8.6 KB
224 - Reducing overfitting.mp462.8 MB
225 - VGGNet English.vtt16.4 KB
225 - VGGNet.mp4168.4 MB
226 - InceptionNet English.vtt18.3 KB
226 - InceptionNet.mp4137.0 MB
227 - ResNet English.vtt17.0 KB
227 - ResNet.mp4196.5 MB
228 - MobileNet English.vtt22.7 KB
228 - MobileNet.mp4198.1 MB
229 - EfficientNet English.vtt39.1 KB
229 - EfficientNet.mp4393.7 MB
230 - Transfer Learning and FineTuning English.vtt62.4 KB
230 - Transfer Learning and FineTuning.mp4439.9 MB
231 - Data Augmentation English.vtt12.1 KB
231 - Data Augmentation.mp471.3 MB
232 - Callbacks English.vtt16.9 KB
232 - Callbacks.mp4123.7 MB
233 - Monitoring with TensorBoard English.vtt18.0 KB
233 - Monitoring with TensorBoard.mp4101.4 MB
234 - ConvNet Project 1 English.vtt2.7 KB
234 - ConvNet Project 1.mp410.4 MB
235 - ConvNet Project 2 English.vtt4.6 KB
235 - ConvNet Project 2.mp430.0 MB
236 - Sentiment Analysis Dataset English.vtt27.1 KB
236 - Sentiment Analysis Dataset.mp4153.5 MB
237 - Imdb Dataset Code English.vtt39.8 KB
237 - Imdb Dataset Code.mp4287.5 MB
238 - Recurrent Neural Networks English.vtt37.3 KB
238 - Recurrent Neural Networks.mp4207.5 MB
239 - Training and Optimization Evaluation English.vtt15.5 KB
239 - Training and Optimization Evaluation.mp486.2 MB
240 - Embeddings English.vtt17.7 KB
240 - Embeddings.mp498.2 MB
241 - LSTM English.vtt21.1 KB
241 - LSTM.mp4146.0 MB
242 - GRU English.vtt5.5 KB
242 - GRU.mp430.4 MB
243 - 1D Convolutions English.vtt14.0 KB
243 - 1D Convolutions.mp465.7 MB
244 - Bidirectional RNNs English.vtt5.8 KB
244 - Bidirectional RNNs.mp437.4 MB
245 - Word2Vec English.vtt14.3 KB
245 - Word2Vec.mp496.3 MB
246 - RNN Project English.vtt3.9 KB
246 - RNN Project.mp427.8 MB
247 - Breast Cancer Dataset English.vtt13.8 KB
247 - Breast Cancer Dataset.mp491.1 MB
248 - ResNet Model English.vtt2.5 KB
248 - ResNet Model.mp413.3 MB
249 - Training and Performance Measurement English.vtt25.2 KB
249 - Training and Performance Measurement.mp4150.1 MB
250 - Corrective Measures English.vtt9.3 KB
250 - Corrective Measures.mp449.6 MB
251 - Plant Disease Project English.vtt5.8 KB
251 - Plant Disease Project.mp439.0 MB
252 - Object Detection English.vtt7.2 KB
252 - Object Detection.mp449.2 MB
253 - Pascal VOC Dataset English.vtt59.6 KB
253 - Pascal VOC Dataset.mp4402.5 MB
254 - Modeling YOLO v1 English.vtt49.1 KB
254 - Modeling YOLO v1.mp4479.2 MB
255 - Error Sanctioning English.vtt32.8 KB
255 - Error Sanctioning.mp4185.7 MB
256 - Training and Optimization English.vtt11.2 KB
256 - Training and Optimization.mp4111.8 MB
257 - Testing English.vtt23.9 KB
257 - Testing.mp4162.4 MB
258 - Performance Measurement Mean Average Precision mAP English.vtt46.0 KB
258 - Performance Measurement Mean Average Precision mAP.mp4267.0 MB
259 - Data Augmentation English.vtt15.6 KB
259 - Data Augmentation.mp496.5 MB
260 - YOLO v3 English.vtt76.0 KB
260 - YOLO v3.mp4614.1 MB
261 - Instance Segmentation Project English.vtt1.6 KB
261 - Instance Segmentation Project.mp410.6 MB
262 - Image Segmentation Oxford IIIT Pet Dataset English.vtt8.2 KB
262 - Image Segmentation Oxford IIIT Pet Dataset.mp457.4 MB
263 - UNET model English.vtt17.8 KB
263 - UNET model.mp4113.2 MB
264 - Training and Optimization English.vtt5.4 KB
264 - Training and Optimization.mp441.9 MB
265 - Data Augmentation and Dropout English.vtt4.8 KB
265 - Data Augmentation and Dropout.mp427.2 MB
266 - Class weighting and reduced network English.vtt16.3 KB
266 - Class weighting and reduced network.mp4123.4 MB
267 - Semantic Segmentation Project English.vtt527 bytes
267 - Semantic Segmentation Project.mp41.5 MB
268 - People Counting Shangai Tech Dataset English.vtt12.7 KB
268 - People Counting Shangai Tech Dataset.mp479.5 MB
269 - Dataset Preparation English.vtt45.0 KB
269 - Dataset Preparation.mp4303.1 MB
270 - CSRNET English.vtt8.5 KB
270 - CSRNET.mp471.4 MB
271 - Training and Optimization English.vtt6.8 KB
271 - Training and Optimization.mp449.2 MB
272 - Data Augmentation English.vtt30.6 KB
272 - Data Augmentation.mp4245.5 MB
273 - Object Counting Project English.vtt1.1 KB
273 - Object Counting Project.mp42.8 MB
274 - FreEng Dataset and Task English.vtt18.1 KB
274 - FreEng Dataset and Task.mp4123.0 MB
275 - Sequence to Sequence Models English.vtt30.8 KB
275 - Sequence to Sequence Models.mp4198.2 MB
276 - Training Sequence to Sequence Models English.vtt3.4 KB
276 - Training Sequence to Sequence Models.mp414.9 MB
277 - Performance Measurement BLEU Score English.vtt33.8 KB
277 - Performance Measurement BLEU Score.mp4167.5 MB
278 - Testing Sequence to Sequence Models English.vtt12.6 KB
278 - Testing Sequence to Sequence Models.mp474.6 MB
279 - Attention Mechanism Bahdanau Attention English.vtt62.4 KB
279 - Attention Mechanism Bahdanau Attention.mp4421.4 MB
280 - Transformers Theory English.vtt61.5 KB
280 - Transformers Theory.mp4332.2 MB
281 - Building Transformers with TensorFlow 2 English.vtt60.8 KB
281 - Building Transformers with TensorFlow 2.mp4315.9 MB
282 - Text Normalization project English.vtt3.3 KB
282 - Text Normalization project.mp423.8 MB
31 - Functional API English.vtt17.8 KB
31 - Functional API.mp4138.4 MB
32 - Model Subclassing English.vtt16.1 KB
32 - Model Subclassing.mp4119.6 MB
33 - Custom Layers English.vtt19.3 KB
33 - Custom Layers.mp4135.7 MB
283 - Understanding Question Answering English.vtt2.7 KB
283 - Understanding Question Answering.mp412.9 MB
284 - SQUAD dataset English.vtt22.1 KB
284 - SQUAD dataset.mp4224.0 MB
285 - SQUAD dataset preparation English.vtt22.4 KB
285 - SQUAD dataset preparation.mp4165.3 MB
286 - Context Answer Network English.vtt10.4 KB
286 - Context Answer Network.mp462.4 MB
287 - Training and Optimization English.vtt6.0 KB
287 - Training and Optimization.mp436.0 MB
288 - Data Augmentation English.vtt2.5 KB
288 - Data Augmentation.mp414.5 MB
289 - LSH Attention English.vtt80.1 KB
289 - LSH Attention.mp4478.8 MB
290 - BERT Model English.vtt19.1 KB
290 - BERT Model.mp4220.3 MB
291 - BERT Practice English.vtt37.6 KB
291 - BERT Practice.mp4288.6 MB
292 - GPT Based Chatbot English.vtt1.3 KB
292 - GPT Based Chatbot.mp411.1 MB
293 - What is Automatic Speech Recognition English.vtt2.9 KB
293 - What is Automatic Speech Recognition.mp412.4 MB
294 - LJ Speech Dataset English.vtt8.6 KB
294 - LJ Speech Dataset.mp445.9 MB
295 - Fourier Transform English.vtt37.0 KB
295 - Fourier Transform.mp4224.2 MB
296 - Short Time Fourier Transform English.vtt27.2 KB
296 - Short Time Fourier Transform.mp4161.0 MB
297 - Conv CTC Model English.vtt22.0 KB
297 - Conv CTC Model.mp4115.3 MB
298 - Speech Transformer English.vtt25.6 KB
298 - Speech Transformer.mp4234.2 MB
299 - Audio Classification project English.vtt758 bytes
299 - Audio Classification project.mp44.4 MB
300 - Flickr 30k Dataset English.vtt23.9 KB
300 - Flickr 30k Dataset.mp4188.0 MB
301 - CNN Transformer Model English.vtt6.8 KB
301 - CNN Transformer Model.mp443.4 MB
302 - Training and Optimization English.vtt22.0 KB
302 - Training and Optimization.mp4177.1 MB
303 - Vision Transformers English.vtt25.4 KB
303 - Vision Transformers.mp4238.3 MB
304 - OCR Project English.vtt791 bytes
304 - OCR Project.mp44.1 MB
305 - Introduction to Generative Modeling English.vtt7.9 KB
305 - Introduction to Generative Modeling.mp477.3 MB
306 - Image Generation English.vtt12.4 KB
306 - Image Generation.mp488.7 MB
307 - GAN Loss English.vtt10.5 KB
307 - GAN Loss.mp455.6 MB
308 - GAN training and Optimization English.vtt27.2 KB
308 - GAN training and Optimization.mp4190.0 MB
309 - Wasserstein GAN English.vtt36.9 KB
309 - Wasserstein GAN.mp4277.5 MB
310 - Image to Image Translation Project English.vtt923 bytes
310 - Image to Image Translation Project.mp45.7 MB
311 - Introduction English.vtt5.2 KB
311 - Introduction.mp424.1 MB
312 - Model Preparation English.vtt8.3 KB
312 - Model Preparation.mp463.9 MB
313 - Deployment English.vtt12.3 KB
313 - Deployment.mp452.8 MB
34 - PrecisionRecall and Accuracy English.vtt25.0 KB
34 - PrecisionRecall and Accuracy.mp4211.3 MB
35 - Confusion Matrix English.vtt10.8 KB
35 - Confusion Matrix.mp462.4 MB
36 - ROC Plots English.vtt9.0 KB
36 - ROC Plots.mp450.2 MB
37 - Tensorflow Callbacks English.vtt27.9 KB
37 - Tensorflow Callbacks.mp4217.3 MB
38 - Learning rate scheduling English.vtt19.2 KB
38 - Learning rate scheduling.mp4136.9 MB
39 - Model checkpointing English.vtt8.5 KB
39 - Model checkpointing.mp461.8 MB
40 - Mitigating overfitting and underfitting English.vtt30.8 KB
40 - Mitigating overfitting and underfitting.mp4202.1 MB
41 - Data augmentation with TensorFlow using tfimage and Keras Layers English.vtt61.0 KB
41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4424.0 MB
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata English.vtt20.9 KB
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata.mp4161.8 MB
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata English.vtt43.7 KB
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4344.2 MB
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation English.vtt91.7 KB
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4617.5 MB
45 - Custom Loss and Metrics English.vtt24.4 KB
45 - Custom Loss and Metrics.mp4176.0 MB
46 - Eager and graph modes English.vtt14.2 KB
46 - Eager and graph modes.mp488.7 MB
47 - Custom training loops English.vtt29.3 KB
47 - Custom training loops.mp4235.0 MB
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