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Coursera - Introduction to Neural NetWorks and PyTorch - AD-TEAM - 11-08-2024 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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