[Manning] Deep learning patterns practices (hevc) (2021) [EN] -移花宫-武林禁地，闲人禁止入内

[Manning] Deep learning patterns practices (hevc) (2021) [EN]

磁力链接/BT种子名称

[Manning] Deep learning patterns practices (hevc) (2021) [EN]

磁力链接/BT种子简介

种子哈希：b7b417c5796137b05fb8d984dc3aca5689e69d4d
文件大小：478.01M
已经下载：2249次
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收录时间：2022-05-17
最近下载：2026-01-06

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文件列表

02 - Ch1 Designing modern machine learning.m4v 8.6 MB
84 - Ch14 Training schedulers.m4v 7.8 MB
10 - Ch2 DNN binary classifier.m4v 7.8 MB
81 - Ch14 Training and deployment pipeline.m4v 7.7 MB
42 - Ch7 Alternative connectivity patterns.m4v 7.6 MB
78 - Ch13 Data preprocessing.m4v 7.6 MB
66 - Ch11 Transfer learning.m4v 7.6 MB
88 - Ch14 TFX pipeline components for deployment.m4v 7.5 MB
47 - Ch8 Mobile convolutional neural networks.m4v 7.4 MB
57 - Ch9 Super-resolution.m4v 7.4 MB
83 - Ch14 Model feeding with TFX.m4v 7.4 MB
69 - Ch11 Distinct tasks.m4v 7.3 MB
87 - Ch14 Serving predictions.m4v 7.3 MB
72 - Ch12 Training as a CNN.m4v 7.3 MB
09 - Ch2 Activation functions.m4v 7.3 MB
82 - Ch14 Model feeding with tf.data.Dataset.m4v 7.1 MB
64 - Ch10 Learning rate scheduler.m4v 7.1 MB
49 - Ch8 MobileNet v2.m4v 7.0 MB
40 - Ch6 ResNeXt - Wide residual neural networks.m4v 7.0 MB
37 - Ch6 Inception v1 module.m4v 7.0 MB
55 - Ch9 Autoencoders.m4v 7.0 MB
70 - Ch12 Data distributions.m4v 6.8 MB
11 - Ch2 Simple image classifier.m4v 6.7 MB
71 - Ch12 Out of distribution.m4v 6.7 MB
80 - Ch13 Data augmentation.m4v 6.7 MB
76 - Ch13 TFRecord format.m4v 6.6 MB
67 - Ch11 New classifier.m4v 6.6 MB
36 - Ch6 Wide convolutional neural networks.m4v 6.6 MB
50 - Ch8 SqueezeNet.m4v 6.5 MB
34 - Ch5 Task component.m4v 6.5 MB
33 - Ch5 Pre-stem.m4v 6.5 MB
68 - Ch11 TF Hub prebuilt models.m4v 6.4 MB
04 - Ch1 Next steps in computer learning - Part 1.m4v 6.3 MB
07 - Ch2 Deep neural networks.m4v 6.3 MB
22 - Ch4 Convergence.m4v 6.2 MB
44 - Ch7 Xception - Extreme Inception.m4v 6.2 MB
14 - Ch3 The ConvNet design for a CNN.m4v 6.2 MB
75 - Ch13 HDF5 format.m4v 6.1 MB
85 - Ch14 Model evaluations.m4v 6.0 MB
38 - Ch6 Inception v2 - Factoring convolutions.m4v 6.0 MB
16 - Ch3 Architecture.m4v 6.0 MB
31 - Ch5 Stem component.m4v 5.9 MB
58 - Ch9 Pretext tasks.m4v 5.8 MB
48 - Ch8 Stem.m4v 5.7 MB
77 - Ch13 Data feeding.m4v 5.7 MB
05 - Ch1 Next steps in computer learning - Part 2.m4v 5.6 MB
74 - Ch13 Compressed and raw-image formats.m4v 5.6 MB
35 - Ch5 Beyond computer vision - NLP.m4v 5.5 MB
25 - Ch4 Invariance.m4v 5.4 MB
65 - Ch10 Regularization.m4v 5.4 MB
21 - Ch4 Validation and overfitting.m4v 5.3 MB
18 - Ch4 Training fundamentals.m4v 5.3 MB
52 - Ch8 ShuffleNet v1.m4v 5.3 MB
51 - Ch8 Classifier.m4v 5.3 MB
63 - Ch10 Random search.m4v 5.2 MB
56 - Ch9 Convolutional autoencoders.m4v 5.2 MB
12 - Ch3 Convolutional and residual neural networks.m4v 5.2 MB
62 - Ch10 Hyperparameter search fundamentals.m4v 5.2 MB
41 - Ch6 Beyond computer vision - Structured data.m4v 5.2 MB
23 - Ch4 Hyperparameters.m4v 5.1 MB
30 - Ch5 Procedural design pattern.m4v 5.0 MB
54 - Ch8 Deployment.m4v 4.9 MB
60 - Ch10 Hyperparameter tuning.m4v 4.9 MB
08 - Ch2 Sequential API method.m4v 4.8 MB
03 - Ch1 The evolution in machine learning approaches.m4v 4.7 MB
06 - Ch1 The benefits of design patterns.m4v 4.7 MB
19 - Ch4 Dataset splitting.m4v 4.5 MB
32 - Ch5 ResNet.m4v 4.4 MB
61 - Ch10 Lottery hypothesis.m4v 4.4 MB
Manning.Deep.learning.patterns.practices.2021.pdf 4.3 MB
27 - Ch4 Raw (disk) datasets.m4v 4.2 MB
13 - Ch3 Feature detection.m4v 4.2 MB
45 - Ch7 Exit flow of Xception.m4v 4.2 MB
79 - Ch13 Preprocessing with TF Extended.m4v 4.1 MB
15 - Ch3 VGG networks.m4v 4.1 MB
46 - Ch7 SE-Net - Squeeze and excitation.m4v 4.1 MB
17 - Ch3 Batch normalization.m4v 4.0 MB
39 - Ch6 Normal convolution.m4v 4.0 MB
89 - Ch14 Evolution in production pipeline design.m4v 4.0 MB
53 - Ch8 Learner.m4v 3.7 MB
28 - Ch4 Resizing.m4v 3.7 MB
43 - Ch7 Dense block.m4v 3.7 MB
24 - Ch4 Learning rate.m4v 3.6 MB
86 - Ch14 TFX evaluation.m4v 3.4 MB
73 - Ch13 Data pipeline.m4v 3.3 MB
20 - Ch4 Data normalization.m4v 3.3 MB
26 - Ch4 Scale invariance.m4v 3.0 MB
59 - Part 3. Working with pipelines.m4v 1.5 MB
29 - Part 2. Basic design pattern.m4v 1.4 MB
01 - Part 1. Deep learning fundamentals.m4v 613.8 kB