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Coursera - Deep Learning with PyTorch - AD-TEAM - 11-08-2024 182.88 MB | 00:10:50 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English
Files Included :
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)
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