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[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

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Udemy - A deep understanding of deep learning (with Python intro) [FCS]

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.


Created by Mike X Cohen

Last updated 4/2023

English

English [Auto]

File list
  • [FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)
  • 1 - Introduction/1 - How to learn from this course English.vtt 11.3 KB
  • 1 - Introduction/1 - How to learn from this course Vietnamese.vtt 14 KB
  • 1 - Introduction/1 - How to learn from this course.mp4 55 MB
  • 1 - Introduction/2 - Using Udemy like a pro English.vtt 10.6 KB
  • 1 - Introduction/2 - Using Udemy like a pro Vietnamese.vtt 13.7 KB
  • 1 - Introduction/2 - Using Udemy like a pro.mp4 38.1 MB
  • 10 - Metaparameters activations optimizers/100 - Optimizers comparison English.vtt 12.7 KB
  • 10 - Metaparameters activations optimizers/100 - Optimizers comparison Vietnamese.vtt 15.9 KB
  • 10 - Metaparameters activations optimizers/100 - Optimizers comparison.mp4 97.3 MB
  • 10 - Metaparameters activations optimizers/101 - CodeChallenge Optimizers and something English.vtt 8.2 KB
  • 10 - Metaparameters activations optimizers/101 - CodeChallenge Optimizers and something Vietnamese.vtt 10.4 KB
  • 10 - Metaparameters activations optimizers/101 - CodeChallenge Optimizers and something.mp4 54.4 MB
  • 10 - Metaparameters activations optimizers/102 - CodeChallenge Adam with L2 regularization English.vtt 9 KB
  • 10 - Metaparameters activations optimizers/102 - CodeChallenge Adam with L2 regularization Vietnamese.vtt 11 KB
  • 10 - Metaparameters activations optimizers/102 - CodeChallenge Adam with L2 regularization.mp4 61.1 MB
  • 10 - Metaparameters activations optimizers/103 - Learning rate decay English.vtt 15.5 KB
  • 10 - Metaparameters activations optimizers/103 - Learning rate decay Vietnamese.vtt 19.8 KB
  • 10 - Metaparameters activations optimizers/103 - Learning rate decay.mp4 107.2 MB
  • 10 - Metaparameters activations optimizers/104 - How to pick the right metaparameters English.vtt 14.6 KB
  • 10 - Metaparameters activations optimizers/104 - How to pick the right metaparameters Vietnamese.vtt 18.8 KB
  • 10 - Metaparameters activations optimizers/104 - How to pick the right metaparameters.mp4 36.8 MB
  • 10 - Metaparameters activations optimizers/81 - What are metaparameters English.vtt 6.5 KB
  • 10 - Metaparameters activations optimizers/81 - What are metaparameters Vietnamese.vtt 8 KB
  • 10 - Metaparameters activations optimizers/81 - What are metaparameters.mp4 18.7 MB
  • 10 - Metaparameters activations optimizers/82 - The wine quality dataset English.vtt 22.3 KB
  • 10 - Metaparameters activations optimizers/82 - The wine quality dataset Vietnamese.vtt 28.2 KB
  • 10 - Metaparameters activations optimizers/82 - The wine quality dataset.mp4 194.4 MB
  • 10 - Metaparameters activations optimizers/83 - CodeChallenge Minibatch size in the wine dataset English.vtt 20 KB
  • 10 - Metaparameters activations optimizers/83 - CodeChallenge Minibatch size in the wine dataset Vietnamese.vtt 25.4 KB
  • 10 - Metaparameters activations optimizers/83 - CodeChallenge Minibatch size in the wine dataset.mp4 160.4 MB
  • 10 - Metaparameters activations optimizers/84 - Data normalization English.vtt 17.1 KB
  • 10 - Metaparameters activations optimizers/84 - Data normalization Vietnamese.vtt 21.6 KB
  • 10 - Metaparameters activations optimizers/84 - Data normalization.mp4 62.4 MB
  • 10 - Metaparameters activations optimizers/85 - The importance of data normalization English.vtt 12 KB
  • 10 - Metaparameters activations optimizers/85 - The importance of data normalization Vietnamese.vtt 15 KB
  • 10 - Metaparameters activations optimizers/85 - The importance of data normalization.mp4 72.7 MB
  • 10 - Metaparameters activations optimizers/86 - Batch normalization English.vtt 16.3 KB
  • 10 - Metaparameters activations optimizers/86 - Batch normalization Vietnamese.vtt 20.5 KB
  • 10 - Metaparameters activations optimizers/86 - Batch normalization.mp4 54.4 MB
  • 10 - Metaparameters activations optimizers/87 - Batch normalization in practice English.vtt 9.6 KB
  • 10 - Metaparameters activations optimizers/87 - Batch normalization in practice Vietnamese.vtt 12.1 KB
  • 10 - Metaparameters activations optimizers/87 - Batch normalization in practice.mp4 70 MB
  • 10 - Metaparameters activations optimizers/88 - CodeChallenge Batchnormalize the qwerties English.vtt 6.5 KB
  • 10 - Metaparameters activations optimizers/88 - CodeChallenge Batchnormalize the qwerties Vietnamese.vtt 8.2 KB
  • 10 - Metaparameters activations optimizers/88 - CodeChallenge Batchnormalize the qwerties.mp4 64.9 MB
  • 10 - Metaparameters activations optimizers/89 - Activation functions English.vtt 23 KB
  • 10 - Metaparameters activations optimizers/89 - Activation functions Vietnamese.vtt 28.2 KB
  • 10 - Metaparameters activations optimizers/89 - Activation functions.mp4 121.1 MB
  • 10 - Metaparameters activations optimizers/90 - Activation functions in PyTorch English.vtt 14.8 KB
  • 10 - Metaparameters activations optimizers/90 - Activation functions in PyTorch Vietnamese.vtt 18.5 KB
  • 10 - Metaparameters activations optimizers/90 - Activation functions in PyTorch.mp4 101.3 MB
  • 10 - Metaparameters activations optimizers/91 - Activation functions comparison English.vtt 11.8 KB
  • 10 - Metaparameters activations optimizers/91 - Activation functions comparison Vietnamese.vtt 14.9 KB
  • 10 - Metaparameters activations optimizers/91 - Activation functions comparison.mp4 112.7 MB
  • 10 - Metaparameters activations optimizers/92 - CodeChallenge Compare relu variants English.vtt 9.8 KB
  • 10 - Metaparameters activations optimizers/92 - CodeChallenge Compare relu variants Vietnamese.vtt 12.2 KB
  • 10 - Metaparameters activations optimizers/92 - CodeChallenge Compare relu variants.mp4 64 MB
  • 10 - Metaparameters activations optimizers/93 - CodeChallenge Predict sugar English.vtt 21.6 KB
  • 10 - Metaparameters activations optimizers/93 - CodeChallenge Predict sugar Vietnamese.vtt 27.7 KB
  • 10 - Metaparameters activations optimizers/93 - CodeChallenge Predict sugar.mp4 134.3 MB
  • 10 - Metaparameters activations optimizers/94 - Loss functions English.vtt 21.1 KB
  • 10 - Metaparameters activations optimizers/94 - Loss functions Vietnamese.vtt 25.6 KB
  • 10 - Metaparameters activations optimizers/94 - Loss functions.mp4 96.2 MB
  • 10 - Metaparameters activations optimizers/95 - Loss functions in PyTorch English.vtt 23.1 KB
  • 10 - Metaparameters activations optimizers/95 - Loss functions in PyTorch Vietnamese.vtt 28.9 KB
  • 10 - Metaparameters activations optimizers/95 - Loss functions in PyTorch.mp4 154.7 MB
  • 10 - Metaparameters activations optimizers/96 - More practice with multioutput ANNs English.vtt 17.6 KB
  • 10 - Metaparameters activations optimizers/96 - More practice with multioutput ANNs Vietnamese.vtt 21.9 KB
  • 10 - Metaparameters activations optimizers/96 - More practice with multioutput ANNs.mp4 110 MB
  • 10 - Metaparameters activations optimizers/97 - Optimizers minibatch momentum English.vtt 23.8 KB
  • 10 - Metaparameters activations optimizers/97 - Optimizers minibatch momentum Vietnamese.vtt 30.5 KB
  • 10 - Metaparameters activations optimizers/97 - Optimizers minibatch momentum.mp4 59.4 MB
  • 10 - Metaparameters activations optimizers/98 - SGD with momentum English.vtt 10 KB
  • 10 - Metaparameters activations optimizers/98 - SGD with momentum Vietnamese.vtt 12.9 KB
  • 10 - Metaparameters activations optimizers/98 - SGD with momentum.mp4 62.1 MB
  • 10 - Metaparameters activations optimizers/99 - Optimizers RMSprop Adam English.vtt 19.1 KB
  • 10 - Metaparameters activations optimizers/99 - Optimizers RMSprop Adam Vietnamese.vtt 24.1 KB
  • 10 - Metaparameters activations optimizers/99 - Optimizers RMSprop Adam.mp4 52.5 MB
  • 11 - FFNs FeedForward Networks/105 - What are fullyconnected and feedforward networks English.vtt 6.1 KB
  • 11 - FFNs FeedForward Networks/105 - What are fullyconnected and feedforward networks Vietnamese.vtt 7.9 KB
  • 11 - FFNs FeedForward Networks/105 - What are fullyconnected and feedforward networks.mp4 17.8 MB
  • 11 - FFNs FeedForward Networks/106 - The MNIST dataset English.vtt 16 KB
  • 11 - FFNs FeedForward Networks/106 - The MNIST dataset Vietnamese.vtt 19.9 KB
  • 11 - FFNs FeedForward Networks/106 - The MNIST dataset.mp4 135.7 MB
  • 11 - FFNs FeedForward Networks/107 - FFN to classify digits English.vtt 28.3 KB
  • 11 - FFNs FeedForward Networks/107 - FFN to classify digits Vietnamese.vtt 35.5 KB
  • 11 - FFNs FeedForward Networks/107 - FFN to classify digits.mp4 178.3 MB
  • 11 - FFNs FeedForward Networks/108 - CodeChallenge Binarized MNIST images English.vtt 6.4 KB
  • 11 - FFNs FeedForward Networks/108 - CodeChallenge Binarized MNIST images Vietnamese.vtt 8.1 KB
  • 11 - FFNs FeedForward Networks/108 - CodeChallenge Binarized MNIST images.mp4 44.5 MB
  • 11 - FFNs FeedForward Networks/109 - CodeChallenge Data normalization English.vtt 21.2 KB
  • 11 - FFNs FeedForward Networks/109 - CodeChallenge Data normalization Vietnamese.vtt 26.7 KB
  • 11 - FFNs FeedForward Networks/109 - CodeChallenge Data normalization.mp4 104.1 MB
  • 11 - FFNs FeedForward Networks/110 - Distributions of weights pre and postlearning English.vtt 18.8 KB
  • 11 - FFNs FeedForward Networks/110 - Distributions of weights pre and postlearning Vietnamese.vtt 23.9 KB
  • 11 - FFNs FeedForward Networks/110 - Distributions of weights pre and postlearning.mp4 141.8 MB

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