Coursera - Deep Neural NetWorks with PyTorch

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Download Free Download : Coursera - Deep Neural Networks with PyTorch
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:349.8 MB
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Files Included :

Spoiler

01 1-0-overview-of-tensors.mp4 (4.64 MB)
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01 1-1-tensors-1d.mp4 (16.67 MB)
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01 1-2-two-dimensional-tensors.mp4 (12.17 MB)
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01 differentiation-in-pytorch.mp4 (6.77 MB)
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01 1-3-simple-dataset.mp4 (9.41 MB)
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01 1-5-dataset.mp4 (3.91 MB)
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01 2-1-linear-regression-prediction.mp4 (11.03 MB)
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01 2-1-linear-regression-training.mp4 (4.47 MB)
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02 loss.mp4 (4.65 MB)
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01 gradient-descent.mp4 (5.67 MB)
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02 cost.mp4 (4.1 MB)
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01 linear-regression-pytoch.mp4 (6.39 MB)
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01 pytorch-linear-regression-training-slope-and-bias.mp4 (7.7 MB)
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01 stochastic-gradient-descent.mp4 (9.81 MB)
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01 mini-batch-gradient-descent.mp4 (5.15 MB)
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01 optimization-in-pytorch.mp4 (4.28 MB)
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01 training-validation-and-test-split.mp4 (6.02 MB)
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02 training-validation-and-test-split-pytorch.mp4 (5.14 MB)
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01 multiple-linear-regression-prediction.mp4 (10.29 MB)
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02 multiple-linear-regression-training.mp4 (3.52 MB)
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01 linear-regression-multiple-outputs.mp4 (6.84 MB)
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02 multiple-output-linear-regression-training.mp4 (2.02 MB)
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01 5-0-linear-classifiers.mp4 (10.85 MB)
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01 5-1-logistic-regression-prediction.mp4 (8.09 MB)
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01 bernoulli-distribution-and-maximum-likelihood-estimation.mp4 (7.19 MB)
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01 logistic-regression-cross-entropy-loss.mp4 (13.1 MB)
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01 6-1-softmax.mp4 (9.54 MB)
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01 6-2-softmax-function-using-lines-to-classify-data.mp4 (4.95 MB)
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01 softmax-pytorch.mp4 (8.34 MB)
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01 whats-a-neural-network.mp4 (12.67 MB)
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01 more-hidden-neurons.mp4 (4.05 MB)
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01 neural-networks-with-multiple-dimensional-input.mp4 (7.17 MB)
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01 7-4-multi-class-neural-networks.mp4 (8.17 MB)
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01 7-5-backpropagation.mp4 (9.75 MB)
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01 7-5-activation-functions.mp4 (5.38 MB)
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01 8-1-1-deep-neural-networks.mp4 (7.27 MB)
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02 8-1-2-deeper-neural-networks-nn-modulelist.mp4 (4.83 MB)
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01 8-2-dropout.mp4 (9.93 MB)
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01 8-3-neural-network-initialization-weights.mp4 (9.04 MB)
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01 gradient-descent-with-momentum.mp4 (9.87 MB)
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01 batch-normalization.mp4 (6.86 MB)
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01 9-1-convolution.mp4 (10.49 MB)
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01 9-2-activation-functions-and-max-polling.mp4 (4.18 MB)
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01 9-3-multiple-input-and-output-channels.mp4 (7.97 MB)
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01 9-4-1-convolutional-neural-network.mp4 (7.87 MB)
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02 9-4-2-convolutional-neural-network.mp4 (3.85 MB)
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03 gpu-in-pytorch.mp4 (3.84 MB)
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01 torch-vision-models.mp4 (3.89 MB)
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