Coursera - Introduction to Neural NetWorks and PyTorch

350.26 MB | 00:13:43 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 overview-of-tensors (4.64 MB)
01 tensors-1d (16.67 MB)
01 two-dimensional-tensors (12.17 MB)
01 differentiation-in-pytorch (6.77 MB)
01 simple-dataset (9.41 MB)
01 dataset (3.91 MB)
01 linear-regression-prediction (11.03 MB)
01 linear-regression-training (4.47 MB)
02 loss (4.65 MB)
01 gradient-descent-and-cost (5.67 MB)
02 cost (4.1 MB)
01 linear-regression-pytoch (6.39 MB)
01 pytorch-linear-regression-training-slope-and-bias (7.7 MB)
01 stochastic-gradient-descent (9.93 MB)
01 mini-batch-gradient-descent (5.15 MB)
01 optimization-in-pytorch (4.28 MB)
01 training-validation-and-test-split (6.02 MB)
02 training-validation-and-test-split-pytorch (5.14 MB)
01 multiple-linear-regression-prediction (10.29 MB)
02 multiple-linear-regression-training (3.52 MB)
01 linear-regression-multiple-outputs (6.84 MB)
02 multiple-output-linear-regression-training (2.02 MB)
01 linear-classifiers (10.85 MB)
01 logistic-regression-prediction (8.09 MB)
01 bernoulli-distribution-and-maximum-likelihood-estimation (7.19 MB)
01 logistic-regression-cross-entropy-loss (13.1 MB)
01 6-1-softmax (9.54 MB)
01 6-2-softmax-function-using-lines-to-classify-data (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 7-4-multi-class-neural-networks (8.17 MB)
01 7-5-backpropagation (9.75 MB)
01 7-5-activation-functions (5.38 MB)
01 8-1-1-deep-neural-networks (7.27 MB)
02 8-1-2-deeper-neural-networks-nn-modulelist (4.83 MB)
01 8-2-dropout (9.93 MB)
01 8-3-neural-network-initialization-weights (9.04 MB)
01 gradient-descent-with-momentum (9.87 MB)
01 batch-normalization (6.86 MB)
01 9-1-convolution (10.49 MB)
01 9-2-activation-functions-and-max-polling (4.18 MB)
01 9-3-multiple-input-and-output-channels (7.97 MB)
01 9-4-1-convolutional-neural-network (7.87 MB)
02 9-4-2-convolutional-neural-network (3.85 MB)
03 gpu-in-pytorch (3.84 MB)
01 torch-vision-models (3.89 MB)
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