English Version tensorflow
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About the tensorflow category
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0 | 236 | June 9, 2020 |
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Parameter Initialization
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0 | 64 | April 13, 2022 |
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Linear Regression from Scratch
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4 | 686 | April 8, 2022 |
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Network in Network (NiN)
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2 | 434 | March 12, 2022 |
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Language Models and the Dataset
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5 | 476 | March 6, 2022 |
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Installation
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14 | 1825 | March 3, 2022 |
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Padding and Strides
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2 | 565 | February 18, 2022 |
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Attention Cues
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1 | 525 | February 14, 2022 |
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Residual Networks (ResNet)
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5 | 482 | February 14, 2022 |
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Tensorflow consistency in d2l
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2 | 88 | February 13, 2022 |
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Convolutional Neural Networks (LeNet)
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3 | 551 | February 11, 2022 |
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Dropout
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4 | 562 | February 10, 2022 |
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Sequence Models
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3 | 426 | February 9, 2022 |
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Pooling
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3 | 458 | February 7, 2022 |
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The Base Classification Model
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0 | 95 | February 1, 2022 |
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Synthetic Regression Data
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0 | 79 | January 22, 2022 |
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Object-Oriented Design for Implementation
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0 | 96 | January 21, 2022 |
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Convolutions for Images
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10 | 697 | January 14, 2022 |
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Concise Linear Regression
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4 | 467 | January 9, 2022 |
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Preface
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2 | 640 | December 30, 2021 |
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Use GPUs
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2 | 601 | December 26, 2021 |
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Linear Algebra
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11 | 922 | December 25, 2021 |
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Custom Layers
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2 | 446 | December 23, 2021 |
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Deep Convolutional Neural Networks (AlexNet)
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4 | 640 | July 16, 2021 |
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Data Preprocessing
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4 | 636 | November 29, 2021 |
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Weight Decay
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2 | 578 | November 24, 2021 |
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Data Manipulation
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5 | 628 | November 22, 2021 |
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Concise Implementation of Multilayer Perceptron
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2 | 477 | October 16, 2021 |
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How to locally build the D2L package following modification
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0 | 104 | October 6, 2021 |
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Implementation of Multilayer Perceptron from Scratch
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1 | 491 | September 16, 2021 |