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[FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO]
磁力链接/BT种子名称
[FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO]
磁力链接/BT种子简介
种子哈希:
9fc14c1572c4956a068152101f3409a6b2de5337
文件大小:
3.29G
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下载速度:
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收录时间:
2021-03-08
最近下载:
2024-12-09
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文件列表
34 - Regularization - Early Stopping and Dropout.mp4
194.5 MB
37 - Softmax and implementation in code.mp4
181.2 MB
25 - Up and down pressure.mp4
144.7 MB
36 - Standard Activation Functions.mp4
133.5 MB
32 - 3-layer network on MNIST.mp4
127.8 MB
17 - How to use a derivative to learn.mp4
111.0 MB
05 - Parametric vs. non-parametric learning.mp4
105.0 MB
24 - Building our neural network.mp4
101.2 MB
08 - Multiple inputs.mp4
99.8 MB
26 - Correlation and backpropagation.mp4
97.2 MB
22 - Visualizing weight values.mp4
97.1 MB
01 - Introduction.mp4
95.4 MB
06 - Making a prediction.mp4
94.7 MB
35 - Activation Function Constraints.mp4
94.3 MB
28 - Our first 'deep' neural network.mp4
93.5 MB
29 - Simplifying.mp4
90.9 MB
13 - Hot and cold learning.mp4
89.9 MB
33 - Overfitting in Neural Networks.mp4
88.5 MB
16 - The secret to learning.mp4
87.1 MB
03 - What is Deep Learning and Machine Learning.mp4
86.7 MB
11 - Compare and learn.mp4
86.6 MB
15 - Learning with gradient decent.mp4
86.5 MB
23 - The streetlight problem.mp4
84.6 MB
14 - Gradient descent.mp4
84.6 MB
19 - Gradient descent learning with multiple inputs.mp4
84.2 MB
31 - Seeing the network predict.mp4
84.1 MB
18 - Alpha.mp4
81.0 MB
02 - What you need to get started.mp4
78.9 MB
04 - Supervised vs. unsupervised learning.mp4
78.5 MB
09 - Multiple outputs and stacking predictions.mp4
77.8 MB
38 - Where to go from here.mp4
76.6 MB
30 - Simplified visualization.mp4
76.6 MB
27 - Linear vs. non-linear.mp4
71.3 MB
10 - Primer on NumPy.mp4
66.7 MB
12 - Why measure error.mp4
61.5 MB
20 - Several steps of learning.mp4
48.2 MB
07 - What does a Neural Network do.mp4
47.9 MB
21 - Gradient descent with multiple outputs.mp4
41.2 MB
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