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[FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO]
大小 3.29 GB
文件数 44
Info Hash: 9FC14C1572C4956A068152101F3409A6B2DE5337
收录时间 2026-02-06 10:12:50
更新时间 2026-02-06 10:12:50
文件列表 (44)
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01 - Introduction.mp4
90.98 MB
02 - What you need to get started.mp4
75.23 MB
03 - What is Deep Learning and Machine Learning.mp4
82.64 MB
04 - Supervised vs. unsupervised learning.mp4
74.87 MB
05 - Parametric vs. non-parametric learning.mp4
100.17 MB
06 - Making a prediction.mp4
90.36 MB
07 - What does a Neural Network do.mp4
45.68 MB
08 - Multiple inputs.mp4
95.21 MB
09 - Multiple outputs and stacking predictions.mp4
74.21 MB
10 - Primer on NumPy.mp4
63.64 MB
11 - Compare and learn.mp4
82.56 MB
12 - Why measure error.mp4
58.61 MB
13 - Hot and cold learning.mp4
85.75 MB
14 - Gradient descent.mp4
80.72 MB
15 - Learning with gradient decent.mp4
82.45 MB
16 - The secret to learning.mp4
83.02 MB
17 - How to use a derivative to learn.mp4
105.82 MB
18 - Alpha.mp4
77.21 MB
19 - Gradient descent learning with multiple inputs.mp4
80.31 MB
20 - Several steps of learning.mp4
45.96 MB
21 - Gradient descent with multiple outputs.mp4
39.29 MB
22 - Visualizing weight values.mp4
92.57 MB
23 - The streetlight problem.mp4
80.72 MB
24 - Building our neural network.mp4
96.47 MB
25 - Up and down pressure.mp4
137.95 MB
26 - Correlation and backpropagation.mp4
92.68 MB
27 - Linear vs. non-linear.mp4
68 MB
28 - Our first 'deep' neural network.mp4
89.14 MB
29 - Simplifying.mp4
86.64 MB
30 - Simplified visualization.mp4
73.08 MB
31 - Seeing the network predict.mp4
80.17 MB
32 - 3-layer network on MNIST.mp4
121.89 MB
33 - Overfitting in Neural Networks.mp4
84.43 MB
34 - Regularization - Early Stopping and Dropout.mp4
185.54 MB
35 - Activation Function Constraints.mp4
89.94 MB
36 - Standard Activation Functions.mp4
127.35 MB
37 - Softmax and implementation in code.mp4
172.77 MB
38 - Where to go from here.mp4
73.09 MB
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