01-introduction.pdf
1.3 MB
02-deep-learning-applications.pdf
8.7 MB
03-expressiveness.pdf
443 kB
04-training-and-optimization.pdf
408 kB
05-backpropagation.pdf
340 kB
06-overfitting-kbdivergence.pdf
309 kB
07-cnn.pdf
1.3 MB
08-cnnexamples-transfer-learning.pdf
1.1 MB
09-cnnbackprop-dilation-normalization.pdf
415 kB
10-gradient-ascent-cnninterpretability.pdf
6.9 MB
11-robustness-autoencoders.pdf
646 kB
12-segmentation.pdf
2.6 MB
13-object-detection.pdf
2.7 MB
14-generative-models.pdf
6.0 MB
15-gan.pdf
3.7 MB
16-conditional-generation.pdf
271 kB
17-rnn.pdf
1.0 MB
18-attention-transformers.pdf
1.7 MB
19-basic-reinforcement-learning.pdf
645 kB
20-deep-q-learning.pdf
1.6 MB
21-policy-gradient.pdf
522 kB