精品伊人久久大香线蕉,开心久久婷婷综合中文字幕,杏田冲梨,人妻无码aⅴ不卡中文字幕

項(xiàng)目地址：https://github.com/rasbt/deeplearning-models 

Jupyter筆記本中TensorFlow和PyTorch的各種深度學(xué)習(xí)架構(gòu)，模型和技巧的集合。

傳統(tǒng)機(jī)器學(xué)習(xí)

• 感知機(jī) Perceptron [TensorFlow 1] [PyTorch]

• 邏輯回歸 Logistic Regression [TensorFlow 1] [PyTorch]

• Softmax回歸（多項(xiàng)邏輯回歸） Softmax Regression (Multinomial Logistic Regression) [TensorFlow 1] [PyTorch]

多層感知機(jī)

• Multilayer Perceptron [TensorFlow 1] [PyTorch]

• Multilayer Perceptron with Dropout [TensorFlow 1] [PyTorch]

• Multilayer Perceptron with Batch Normalization [TensorFlow 1] [PyTorch]

• Multilayer Perceptron with Backpropagation from Scratch [TensorFlow 1] [PyTorch]

卷積神經(jīng)網(wǎng)絡(luò)

基本

• Convolutional Neural Network [TensorFlow 1] [PyTorch]

• Convolutional Neural Network with He Initialization [PyTorch]

概念

• Replacing Fully-Connnected by Equivalent Convolutional Layers [PyTorch]

完全卷積

• Fully Convolutional Neural Network [PyTorch]

AlexNet

• AlexNet on CIFAR-10 [PyTorch]

VGG

• Convolutional Neural Network VGG-16 [TensorFlow 1] [PyTorch]

• VGG-16 Gender Classifier Trained on CelebA [PyTorch]

• Convolutional Neural Network VGG-19 [PyTorch]

ResNet

• ResNet and Residual Blocks [PyTorch]

• ResNet-18 Digit Classifier Trained on MNIST [PyTorch]

• ResNet-18 Gender Classifier Trained on CelebA [PyTorch]

• ResNet-34 Digit Classifier Trained on MNIST [PyTorch]

• ResNet-34 Gender Classifier Trained on CelebA [PyTorch]

• ResNet-50 Digit Classifier Trained on MNIST [PyTorch]

• ResNet-50 Gender Classifier Trained on CelebA [PyTorch]

• ResNet-101 Gender Classifier Trained on CelebA [PyTorch]

• ResNet-152 Gender Classifier Trained on CelebA [PyTorch]

Network in Network

• Network in Network CIFAR-10 Classifier [PyTorch]

度量學(xué)習(xí)

• Siamese Network with Multilayer Perceptrons [TensorFlow 1]

自編碼器

完全連接的自編碼器

• Autoencoder [TensorFlow 1] [PyTorch]

卷積自編碼器

• Convolutional Autoencoder with Deconvolutions / Transposed Convolutions[TensorFlow 1] [PyTorch]

• Convolutional Autoencoder with Deconvolutions (without pooling operations) [PyTorch]

• Convolutional Autoencoder with Nearest-neighbor Interpolation [TensorFlow 1] [PyTorch]

• Convolutional Autoencoder with Nearest-neighbor Interpolation -- Trained on CelebA [PyTorch]

• Convolutional Autoencoder with Nearest-neighbor Interpolation -- Trained on Quickdraw [PyTorch]

變分自編碼器

• Variational Autoencoder [PyTorch]

• Convolutional Variational Autoencoder [PyTorch]

條件變分自編碼器

• Conditional Variational Autoencoder (with labels in reconstruction loss) [PyTorch]

• Conditional Variational Autoencoder (without labels in reconstruction loss) [PyTorch]

• Convolutional Conditional Variational Autoencoder (with labels in reconstruction loss) [PyTorch]

• Convolutional Conditional Variational Autoencoder (without labels in reconstruction loss) [PyTorch]

生成對(duì)抗網(wǎng)絡(luò)（GAN）

• Fully Connected GAN on MNIST [TensorFlow 1] [PyTorch]

• Convolutional GAN on MNIST [TensorFlow 1] [PyTorch]

• Convolutional GAN on MNIST with Label Smoothing [PyTorch]

遞歸神經(jīng)網(wǎng)絡(luò)（RNN）

多對(duì)一：情感分析/分類

• A simple single-layer RNN (IMDB) [PyTorch]

• A simple single-layer RNN with packed sequences to ignore padding characters (IMDB) [PyTorch]

• RNN with LSTM cells (IMDB) [PyTorch]

• RNN with LSTM cells (IMDB) and pre-trained GloVe word vectors [PyTorch]

• RNN with LSTM cells and Own Dataset in CSV Format (IMDB) [PyTorch]

• RNN with GRU cells (IMDB) [PyTorch]

• Multilayer bi-directional RNN (IMDB) [PyTorch]

多對(duì)多/序列到序列

• A simple character RNN to generate new text (Charles Dickens) [PyTorch]

順序回歸

• Ordinal Regression CNN -- CORAL w. ResNet34 on AFAD-Lite [PyTorch]

• Ordinal Regression CNN -- Niu et al. 2016 w. ResNet34 on AFAD-Lite [PyTorch]

• Ordinal Regression CNN -- Beckham and Pal 2016 w. ResNet34 on AFAD-Lite [PyTorch]

技巧和竅門

• Cyclical Learning Rate [PyTorch]

PyTorch工作流程和機(jī)制

自定義數(shù)據(jù)集

• Using PyTorch Dataset Loading Utilities for Custom Datasets -- CSV files converted to HDF5 [PyTorch]

• Using PyTorch Dataset Loading Utilities for Custom Datasets -- Face Images from CelebA [PyTorch]

• Using PyTorch Dataset Loading Utilities for Custom Datasets -- Drawings from Quickdraw [PyTorch]

• Using PyTorch Dataset Loading Utilities for Custom Datasets -- Drawings from the Street View House Number (SVHN) Dataset [PyTorch]

訓(xùn)練和預(yù)處理

• Dataloading with Pinned Memory [PyTorch]

• Standardizing Images [PyTorch]

• Image Transformation Examples [PyTorch]

• Char-RNN with Own Text File [PyTorch]

• Sentiment Classification RNN with Own CSV File [PyTorch]

并行計(jì)算

• Using Multiple GPUs with DataParallel -- VGG-16 Gender Classifier on CelebA [PyTorch]

其他

• Sequential API and hooks [PyTorch]

• Weight Sharing Within a Layer [PyTorch]

• Plotting Live Training Performance in Jupyter Notebooks with just Matplotlib [PyTorch]

Autograd

• Getting Gradients of an Intermediate Variable in PyTorch [PyTorch]

TensorFlow工作流程和機(jī)制

自定義數(shù)據(jù)集

• Chunking an Image Dataset for Minibatch Training using NumPy NPZ Archives [TensorFlow 1]

• Storing an Image Dataset for Minibatch Training using HDF5 [TensorFlow 1]

• Using Input Pipelines to Read Data from TFRecords Files [TensorFlow 1]

• Using Queue Runners to Feed Images Directly from Disk [TensorFlow 1]

• Using TensorFlow's Dataset API [TensorFlow 1]

訓(xùn)練和預(yù)處理

• Saving and Loading Trained Models -- from TensorFlow Checkpoint Files and NumPy NPZ Archives [TensorFlow 1]