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Deep Learning: Core Ideas from Probability to Transformers
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Deep Learning: Core Ideas from Probability to Transformers
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0:00 / 4:56
Chapters
Summary
Transcript
Chapters
1
Opening
0:00
2
Probability & Information Theory
0:18
3
MLE & Loss Functions
0:51
4
Neural Networks & Depth
1:26
5
Backpropagation & Optimization
2:11
6
Regularization
2:52
7
Convolutional Neural Networks
3:21
8
RNNs & Transformers
3:53
9
Closing
4:38
