Deep Learning with Python 2nd Edition Video Edition
Torrent Info
| Category | Other |
| Added | Saturday 1st July 2023 06:18:46 PM (3 years ago) |
| Size | 5.7 GB |
| Peers | 2 Peers (0 Seeders and 2 leechers) update |
| Downloaded | 74 times |
| Uploader | tutsnode Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 0 |
| Leechers | 2 |
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| Filename | Size |
|---|---|
| 03-Chapter 1 Understanding how deep learning works, in three figures.mp4 | 102.9 MB |
| TutsNode.com.txt | 63 bytes |
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 bytes |
| 0 | 67.2 KB |
| 49-Chapter 9 Advanced deep learning for computer vision.mp4 | 99.8 MB |
| 1 | 240.0 KB |
| 33-Chapter 6 Collect a dataset.mp4 | 85.1 MB |
| 2 | 943.0 KB |
| 96-Chapter 14 Lifelong learning and modular subroutine reuse.mp4 | 84.1 MB |
| 3 | 878.9 KB |
| 02-Chapter 1 Learning rules and representations from data.mp4 | 83.4 MB |
| 4 | 660.0 KB |
| 04-Chapter 1 Before deep learning - A brief history of machine learning.mp4 | 82.7 MB |
| 5 | 353.9 KB |
| 74-Chapter 12 How do you generate sequence data.mp4 | 81.9 MB |
| 6 | 109.6 KB |
| 86-Chapter 14 Conclusions.mp4 | 81.2 MB |
| 7 | 858.5 KB |
| 77-Chapter 12 Neural style transfer.mp4 | 80.9 MB |
| 8 | 67.4 KB |
| 73-Chapter 12 Generative deep learning.mp4 | 80.6 MB |
| 9 | 430.0 KB |
| 27-Chapter 5 The nature of generalization in deep learning.mp4 | 80.5 MB |
| 10 | 520.3 KB |
| 66-Chapter 11 Two approaches for representing groups of words - Sets and sequences.mp4 | 79.8 MB |
| 11 | 180.4 KB |
| 71-Chapter 11 Beyond text classification - Sequence-to-sequence learning.mp4 | 79.6 MB |
| 12 | 403.5 KB |
| 36-Chapter 6 Deploy the model.mp4 | 78.2 MB |
| 13 | 804.4 KB |
| 05-Chapter 1 Back to neural networks.mp4 | 77.9 MB |
| 14 | 71.9 KB |
| 01-Chapter 1 What is deep learning.mp4 | 76.8 MB |
| 15 | 213.0 KB |
| 79-Chapter 12 Implementing a VAE with Keras.mp4 | 75.9 MB |
| 16 | 51.6 KB |
| 82-Chapter 13 Hyperparameter optimization.mp4 | 75.1 MB |
| 17 | 965.7 KB |
| 44-Chapter 8 The convolution operation.mp4 | 74.4 MB |
| 18 | 623.7 KB |
| 55-Chapter 9 Visualizing heatmaps of class activation.mp4 | 74.3 MB |
| 19 | 713.0 KB |
| 70-Chapter 11 The Transformer encoder.mp4 | 72.5 MB |
| 20 | 470.2 KB |
| 28-Chapter 5 Evaluating machine learning models.mp4 | 72.5 MB |
| 21 | 483.8 KB |
| 69-Chapter 11 The Transformer architecture.mp4 | 71.7 MB |
| 22 | 291.1 KB |
| 67-Chapter 11 Processing words as a sequence - The sequence model approach, Part 1.mp4 | 70.5 MB |
| 23 | 469.3 KB |
| 38-Chapter 7 Working with Keras - A deep dive.mp4 | 69.9 MB |
| 24 | 135.5 KB |
| 92-Chapter 14 Setting the course toward greater generality in AI.mp4 | 69.5 MB |
| 25 | 497.0 KB |
| 14-Chapter 2 Derivative of a tensor operation - The gradient.mp4 | 69.5 MB |
| 26 | 547.9 KB |
| 30-Chapter 5 Improving generalization.mp4 | 69.4 MB |
| 27 | 657.3 KB |
| 19-Chapter 3 First steps with TensorFlow.mp4 | 69.2 MB |
| 28 | 857.2 KB |
| 21-Chapter 3 The “compile” step - Configuring the learning process.mp4 | 68.0 MB |
| 29 | 1012.9 KB |
| 52-Chapter 9 Depthwise separable convolutions.mp4 | 67.9 MB |
| 30 | 107.1 KB |
| 17-Chapter 3 Introduction to Keras and TensorFlow.mp4 | 67.6 MB |
| 31 | 425.2 KB |
| 45-Chapter 8 Training a convnet from scratch on a small dataset.mp4 | 67.1 MB |
| 32 | 933.4 KB |
| 32-Chapter 6 The universal workflow of machine learning.mp4 | 66.9 MB |
| 33 | 84.4 KB |
| 93-Chapter 14 Implementing intelligence - The missing ingredients.mp4 | 66.0 MB |
| 34 | 22.8 KB |
| 47-Chapter 8 Leveraging a pretrained model.mp4 | 65.1 MB |
| 35 | 908.0 KB |
| 62-Chapter 10 Using bidirectional RNNs.mp4 | 64.9 MB |
| 36 | 113.4 KB |
| 48-Chapter 8 Feature extraction with a pretrained model.mp4 | 64.3 MB |
| 37 | 680.1 KB |
| 23-Chapter 4 Building your model.mp4 | 64.2 MB |
| 38 | 830.0 KB |
| 87-Chapter 14 Key enabling technologies.mp4 | 63.6 MB |
| 39 | 442.4 KB |
| 81-Chapter 13 Best practices for the real world.mp4 | 63.0 MB |
| 40 | 19.6 KB |
| 80-Chapter 12 A bag of tricks.mp4 | 62.5 MB |
| 41 | 505.6 KB |
| 07-Chapter 1 Algorithms.mp4 | 62.4 MB |
| 42 | 660.8 KB |
| 25-Chapter 4 Predicting house prices - A regression example.mp4 | 61.8 MB |
| 43 | 174.2 KB |
| 46-Chapter 8 Data preprocessing.mp4 | 61.7 MB |
| 44 | 344.7 KB |
| 31-Chapter 5 Regularizing your model.mp4 | 60.8 MB |
| 45 | 225.7 KB |
| 89-Chapter 14 The limitations of deep learning.mp4 | 60.3 MB |
| 46 | 741.6 KB |
| 40-Chapter 7 Using built-in training and evaluation loops.mp4 | 60.2 MB |
| 47 | 850.9 KB |
| 88-Chapter 14 Key network architectures.mp4 | 59.9 MB |
| 48 | 93.1 KB |
| 61-Chapter 10 Advanced use of recurrent neural networks.mp4 | 59.8 MB |
| 49 | 153.8 KB |
| 95-Chapter 14 Blending together deep learning and program synthesis.mp4 | 58.9 MB |
| 50 | 90.0 KB |
| 50-Chapter 9 Modern convnet architecture patterns.mp4 | 58.7 MB |
| 51 | 264.1 KB |
| 53-Chapter 9 Interpreting what convnets learn.mp4 | 58.5 MB |
| 52 | 494.9 KB |
| 75-Chapter 12 A text-generation callback with variable-temperature sampling.mp4 | 58.5 MB |
| 53 | 553.3 KB |
| 63-Chapter 11 Deep learning for text.mp4 | 57.9 MB |
| 54 | 117.9 KB |
| 76-Chapter 12 DeepDream.mp4 | 57.4 MB |
| 55 | 640.7 KB |
| 51-Chapter 9 Residual connections.mp4 | 57.3 MB |
| 56 | 665.9 KB |
| 26-Chapter 5 Fundamentals of machine learning.mp4 | 57.0 MB |
| 57 | 41.9 KB |
| 24-Chapter 4 Classifying newswires - A multiclass classification example.mp4 | 56.8 MB |
| 58 | 179.1 KB |
| 06-Chapter 1 Why deep learning Why now.mp4 | 56.5 MB |
| 59 | 544.0 KB |
| 72-Chapter 11 Sequence-to-sequence learning with Transformer.mp4 | 56.1 MB |
| 60 | 883.0 KB |
| 20-Chapter 3 Anatomy of a neural network - Understanding core Keras APIs.mp4 | 56.1 MB |
| 61 | 919.7 KB |
| 78-Chapter 12 Generating images with variational autoencoders.mp4 | 55.8 MB |
| 62 | 199.3 KB |
| 15-Chapter 2 Chaining derivatives - The Backpropagation algorithm.mp4 | 55.0 MB |
| 63 | 1003.9 KB |
| 56-Chapter 10 Deep learning for timeseries.mp4 | 53.9 MB |
| 64 | 110.2 KB |
| 16-Chapter 2 Looking back at our first example.mp4 | 53.7 MB |
| 65 | 307.4 KB |
| 83-Chapter 13 Scaling-up model training.mp4 | 53.6 MB |
| 66 | 395.3 KB |
| 91-Chapter 14 The purpose of intelligence.mp4 | 53.5 MB |
| 67 | 517.8 KB |
| 22-Chapter 4 Getting started with neural networks - Classification and regression.mp4 | 53.4 MB |
| 68 | 589.0 KB |
| 68-Chapter 11 Processing words as a sequence - The sequence model approach, Part 2.mp4 | 52.5 MB |
| 69 | 466.6 KB |
| 08-Chapter 2 The mathematical building blocks of neural networks.mp4 | 52.0 MB |
| 70 | 991.6 KB |
| 65-Chapter 11 Vocabulary indexing.mp4 | 50.4 MB |
| 71 | 657.8 KB |
| 13-Chapter 2 The engine of neural networks - Gradient-based optimization.mp4 | 50.0 MB |
| 72 | 40.1 KB |
| 10-Chapter 2 Real-world examples of data tensors.mp4 | 48.6 MB |
| 73 | 436.0 KB |
| 94-Chapter 14 The missing half of the picture.mp4 | 47.9 MB |
| 74 | 117.0 KB |
| 09-Chapter 2 Data representations for neural networks.mp4 | 47.6 MB |
| 75 | 445.3 KB |
| 57-Chapter 10 Preparing the data.mp4 | 47.0 MB |
| 76 | 24.2 KB |
| 11-Chapter 2 The gears of neural networks - Tensor operations.mp4 | 46.5 MB |
| 77 | 512.4 KB |
| 64-Chapter 11 Preparing text data.mp4 | 46.5 MB |
| 78 | 528.9 KB |
| 41-Chapter 7 Writing your own training and evaluation loops.mp4 | 45.8 MB |
| 79 | 208.6 KB |
| 90-Chapter 14 Local generalization vs. extreme generalization.mp4 | 45.3 MB |
| 80 | 688.6 KB |
| 58-Chapter 10 Let’s try a basic machine learning model.mp4 | 45.0 MB |
| 81 | 977.5 KB |
| 34-Chapter 6 Develop a model.mp4 | 44.4 MB |
| 82 | 624.9 KB |
| 18-Chapter 3 Setting up a deep learning workspace.mp4 | 43.5 MB |
| 83 | 473.3 KB |
| 60-Chapter 10 A recurrent layer in Keras.mp4 | 41.7 MB |
| 84 | 343.3 KB |
| 85-Chapter 13 TPU training.mp4 | 41.6 MB |
| 85 | 429.1 KB |
| 35-Chapter 6 Beat a baseline.mp4 | 41.2 MB |
| 86 | 866.4 KB |
| 43-Chapter 8 Introduction to deep learning for computer vision.mp4 | 40.7 MB |
| 87 | 355.8 KB |
| 29-Chapter 5 Improving model fit.mp4 | 40.5 MB |
| 88 | 508.3 KB |
| 59-Chapter 10 Understanding recurrent neural networks.mp4 | 40.5 MB |
| 89 | 556.4 KB |
| 54-Chapter 9 Visualizing convnet filters.mp4 | 40.4 MB |
| 90 | 606.4 KB |
| 84-Chapter 13 Multi-GPU training.mp4 | 37.5 MB |
| 91 | 468.3 KB |
| 12-Chapter 2 Tensor reshaping.mp4 | 36.7 MB |
| 92 | 290.0 KB |
| 42-Chapter 7 Make it fast with tf.function.mp4 | 36.0 MB |
| 93 | 11.4 KB |
| 39-Chapter 7 Subclassing the Model class.mp4 | 35.1 MB |
| 94 | 887.2 KB |
| 37-Chapter 6 Monitor your model in the wild.mp4 | 35.1 MB |
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