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Torrent Details
[Manning] Deep learning patterns practices (hevc) (2021) [EN]
Category:
Other
Size:
478.01 MB
Seeders:
3
Leechers:
16
Downloads:
94
Uploaded:
May 21, 2022
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Magnet
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[Manning] Deep learning patterns practices (hevc) (2021) [EN]
02 - Ch1 Designing modern machine learning.m4v
- 8.2 MB
84 - Ch14 Training schedulers.m4v
- 7.48 MB
10 - Ch2 DNN binary classifier.m4v
- 7.43 MB
81 - Ch14 Training and deployment pipeline.m4v
- 7.31 MB
42 - Ch7 Alternative connectivity patterns.m4v
- 7.26 MB
78 - Ch13 Data preprocessing.m4v
- 7.25 MB
66 - Ch11 Transfer learning.m4v
- 7.23 MB
88 - Ch14 TFX pipeline components for deployment.m4v
- 7.13 MB
47 - Ch8 Mobile convolutional neural networks.m4v
- 7.05 MB
57 - Ch9 Super-resolution.m4v
- 7.05 MB
83 - Ch14 Model feeding with TFX.m4v
- 7.01 MB
69 - Ch11 Distinct tasks.m4v
- 7 MB
87 - Ch14 Serving predictions.m4v
- 6.93 MB
72 - Ch12 Training as a CNN.m4v
- 6.93 MB
09 - Ch2 Activation functions.m4v
- 6.92 MB
82 - Ch14 Model feeding with tf.data.Dataset.m4v
- 6.81 MB
64 - Ch10 Learning rate scheduler.m4v
- 6.78 MB
49 - Ch8 MobileNet v2.m4v
- 6.72 MB
40 - Ch6 ResNeXt - Wide residual neural networks.m4v
- 6.68 MB
37 - Ch6 Inception v1 module.m4v
- 6.67 MB
55 - Ch9 Autoencoders.m4v
- 6.64 MB
70 - Ch12 Data distributions.m4v
- 6.47 MB
11 - Ch2 Simple image classifier.m4v
- 6.41 MB
71 - Ch12 Out of distribution.m4v
- 6.38 MB
80 - Ch13 Data augmentation.m4v
- 6.34 MB
76 - Ch13 TFRecord format.m4v
- 6.33 MB
67 - Ch11 New classifier.m4v
- 6.32 MB
36 - Ch6 Wide convolutional neural networks.m4v
- 6.29 MB
50 - Ch8 SqueezeNet.m4v
- 6.22 MB
34 - Ch5 Task component.m4v
- 6.18 MB
33 - Ch5 Pre-stem.m4v
- 6.15 MB
68 - Ch11 TF Hub prebuilt models.m4v
- 6.14 MB
04 - Ch1 Next steps in computer learning - Part 1.m4v
- 6.05 MB
07 - Ch2 Deep neural networks.m4v
- 5.99 MB
22 - Ch4 Convergence.m4v
- 5.9 MB
44 - Ch7 Xception - Extreme Inception.m4v
- 5.89 MB
14 - Ch3 The ConvNet design for a CNN.m4v
- 5.88 MB
75 - Ch13 HDF5 format.m4v
- 5.8 MB
85 - Ch14 Model evaluations.m4v
- 5.73 MB
38 - Ch6 Inception v2 - Factoring convolutions.m4v
- 5.72 MB
16 - Ch3 Architecture.m4v
- 5.71 MB
31 - Ch5 Stem component.m4v
- 5.64 MB
58 - Ch9 Pretext tasks.m4v
- 5.54 MB
48 - Ch8 Stem.m4v
- 5.48 MB
77 - Ch13 Data feeding.m4v
- 5.43 MB
05 - Ch1 Next steps in computer learning - Part 2.m4v
- 5.36 MB
74 - Ch13 Compressed and raw-image formats.m4v
- 5.33 MB
35 - Ch5 Beyond computer vision - NLP.m4v
- 5.29 MB
25 - Ch4 Invariance.m4v
- 5.17 MB
65 - Ch10 Regularization.m4v
- 5.12 MB
21 - Ch4 Validation and overfitting.m4v
- 5.07 MB
18 - Ch4 Training fundamentals.m4v
- 5.05 MB
52 - Ch8 ShuffleNet v1.m4v
- 5.05 MB
51 - Ch8 Classifier.m4v
- 5.01 MB
63 - Ch10 Random search.m4v
- 5 MB
56 - Ch9 Convolutional autoencoders.m4v
- 4.99 MB
12 - Ch3 Convolutional and residual neural networks.m4v
- 4.98 MB
62 - Ch10 Hyperparameter search fundamentals.m4v
- 4.97 MB
41 - Ch6 Beyond computer vision - Structured data.m4v
- 4.95 MB
23 - Ch4 Hyperparameters.m4v
- 4.82 MB
30 - Ch5 Procedural design pattern.m4v
- 4.78 MB
54 - Ch8 Deployment.m4v
- 4.69 MB
60 - Ch10 Hyperparameter tuning.m4v
- 4.64 MB
08 - Ch2 Sequential API method.m4v
- 4.57 MB
03 - Ch1 The evolution in machine learning approaches.m4v
- 4.47 MB
06 - Ch1 The benefits of design patterns.m4v
- 4.45 MB
19 - Ch4 Dataset splitting.m4v
- 4.33 MB
32 - Ch5 ResNet.m4v
- 4.2 MB
61 - Ch10 Lottery hypothesis.m4v
- 4.19 MB
Manning.Deep.learning.patterns.practices.2021.pdf
- 4.12 MB
27 - Ch4 Raw (disk) datasets.m4v
- 4.04 MB
13 - Ch3 Feature detection.m4v
- 4.02 MB
45 - Ch7 Exit flow of Xception.m4v
- 3.97 MB
79 - Ch13 Preprocessing with TF Extended.m4v
- 3.88 MB
15 - Ch3 VGG networks.m4v
- 3.88 MB
46 - Ch7 SE-Net - Squeeze and excitation.m4v
- 3.87 MB
17 - Ch3 Batch normalization.m4v
- 3.86 MB
39 - Ch6 Normal convolution.m4v
- 3.85 MB
89 - Ch14 Evolution in production pipeline design.m4v
- 3.85 MB
53 - Ch8 Learner.m4v
- 3.51 MB
28 - Ch4 Resizing.m4v
- 3.51 MB
43 - Ch7 Dense block.m4v
- 3.5 MB
24 - Ch4 Learning rate.m4v
- 3.47 MB
86 - Ch14 TFX evaluation.m4v
- 3.22 MB
73 - Ch13 Data pipeline.m4v
- 3.18 MB
20 - Ch4 Data normalization.m4v
- 3.14 MB
26 - Ch4 Scale invariance.m4v
- 2.86 MB
59 - Part 3. Working with pipelines.m4v
- 1.42 MB
29 - Part 2. Basic design pattern.m4v
- 1.35 MB
01 - Part 1. Deep learning fundamentals.m4v
- 599.37 KB
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InfoHash:
B7B417C5796137B05FB8D984DC3ACA5689E69D4D
Last updated:
May 21, 2022
File count:
90 B
File Category:
1
Tags:
manning, deep, learning, patterns, practices, hevc
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