种子简介
种子名称：
[FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO]
文件类型：
视频
文件数目：
38个文件
文件大小：
3.29 GB
收录时间：
2019-7-13 01:38
已经下载：
3次
资源热度：
119
最近下载：
2024-8-26 18:22
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magnet:?xt=urn:btih:9fc14c1572c4956a068152101f3409a6b2de5337&dn=[FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO]
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种子包含的文件
[FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO].torrent
01 - Introduction.mp490.98MB
02 - What you need to get started.mp475.23MB
03 - What is Deep Learning and Machine Learning.mp482.64MB
04 - Supervised vs. unsupervised learning.mp474.87MB
05 - Parametric vs. non-parametric learning.mp4100.17MB
06 - Making a prediction.mp490.36MB
07 - What does a Neural Network do.mp445.68MB
08 - Multiple inputs.mp495.21MB
09 - Multiple outputs and stacking predictions.mp474.21MB
10 - Primer on NumPy.mp463.64MB
11 - Compare and learn.mp482.56MB
12 - Why measure error.mp458.61MB
13 - Hot and cold learning.mp485.75MB
14 - Gradient descent.mp480.72MB
15 - Learning with gradient decent.mp482.45MB
16 - The secret to learning.mp483.02MB
17 - How to use a derivative to learn.mp4105.82MB
18 - Alpha.mp477.21MB
19 - Gradient descent learning with multiple inputs.mp480.31MB
20 - Several steps of learning.mp445.96MB
21 - Gradient descent with multiple outputs.mp439.29MB
22 - Visualizing weight values.mp492.57MB
23 - The streetlight problem.mp480.72MB
24 - Building our neural network.mp496.47MB
25 - Up and down pressure.mp4137.95MB
26 - Correlation and backpropagation.mp492.68MB
27 - Linear vs. non-linear.mp468MB
28 - Our first 'deep' neural network.mp489.14MB
29 - Simplifying.mp486.64MB
30 - Simplified visualization.mp473.08MB
31 - Seeing the network predict.mp480.17MB
32 - 3-layer network on MNIST.mp4121.89MB
33 - Overfitting in Neural Networks.mp484.43MB
34 - Regularization - Early Stopping and Dropout.mp4185.54MB
35 - Activation Function Constraints.mp489.94MB
36 - Standard Activation Functions.mp4127.35MB
37 - Softmax and implementation in code.mp4172.77MB
38 - Where to go from here.mp473.09MB
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