01 course-introduction (9.67 MB)
01 logistic-regression-cross-entropy-loss (13.1 MB)
01 softmax (9.54 MB)
01 softmax-function-using-lines-to-classify-data-prediction (4.95 MB)
01 softmax-pytorch (8.34 MB)
01 whats-a-neural-network (12.67 MB)
01 more-hidden-neurons (4.05 MB)
01 neural-networks-with-multiple-dimensional-input (7.17 MB)
01 multi-class-neural-networks (8.17 MB)
01 backpropagation (9.75 MB)
01 activation-functions (5.38 MB)
01 deep-neural-networks (7.27 MB)
02 deeper-neural-networks-nn-modulelist (4.83 MB)
01 dropout (9.93 MB)
01 neural-network-initialization-weights (9.04 MB)
01 gradient-descent-with-momentum (9.87 MB)
01 batch-normalization (6.86 MB)
01 convolution (10.49 MB)
01 activation-functions-and-max-polling (4.18 MB)
01 multiple-input-and-output-channels (7.97 MB)
01 convolutional-neural-network (7.87 MB)
02 convolutional-neural-network-for-mnist (3.85 MB)
01 torch-vision-models (3.89 MB)
01 graphics-processing-unit (3.84 MB)