A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.
Title | Description | Dataset | Notebooks |
---|---|---|---|
Convolutional Neural Network | TBD | TBD | |
CNN with He Initialization | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
Replacing Fully-Connnected by Equivalent Convolutional Layers | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
AlexNet Trained on CIFAR-10 | TBD | TBD | |
AlexNet with Grouped Convolutions Trained on CIFAR-10 | TBD | TBD |
Title | Description | Daset | Notebooks |
---|---|---|---|
DenseNet-121 Digit Classifier Trained on MNIST | TBD | TBD | |
DenseNet-121 Image Classifier Trained on CIFAR-10 | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
"All Convolutionl Net" -- A Fully Convolutional Neural Network | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
LeNet-5 on MNIST | TBD | TBD | |
LeNet-5 on CIFAR-10 | TBD | TBD | |
LeNet-5 on QuickDraw | TBD | TBD |
Title | Description | Datasets | Notebooks |
---|---|---|---|
MobileNet-v2 on Cifar-10 | TBD | TBD | |
MobileNet-v3 small on Cifar-10 | TBD | TBD | |
MobileNet-v3 large on Cifar-10 | TBD | TBD |
Title | Description | Datasets | Notebooks |
---|---|---|---|
Network in Network Trained on CIFAR-10 | TBD | TBD |
Title | Description | Datasets | Notebooks |
---|---|---|---|
Siamese Network with Multilayer Perceptrons | TBD | TBD |
Title | Description | Datasets | Notebooks |
---|---|---|---|
Autoencoder (MNIST) | TBD | TBD | |
Autoencoder (MNIST) + Scikit-Learn Random Forest Classifier | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
Variational Autoencoder | TBD | TBD | |
Convolutional Variational Autoencoder | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
A simple character RNN to generate new text (Charles Dickens) | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
Cyclical Learning Rate | TBD | TBD | |
Annealing with Increasing the Batch Size (w. CIFAR-10 & AlexNet) | TBD | TBD | |
Gradient Clipping (w. MLP on MNIST) | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
Transfer Learning Example (VGG16 pre-trained on ImageNet for Cifar-10) | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
MLP in Lightning with TensorBoard -- continue training the last model | TBD | TBD | |
MLP in Lightning with TensorBoard -- checkpointing best model | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
Gradient Checkpointing Demo (Network-in-Network trained on CIFAR-10) | TBD | TBD |
Title | Description | Notebooks |
---|---|---|
Using Multiple GPUs with DataParallel -- VGG-16 Gender Classifier on CelebA | TBD | |
Distribute a Model Across Multiple GPUs with Pipeline Parallelism (VGG-16 Example) | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
Getting Gradients of an Intermediate Variable in PyTorch | TBD | TBD |
Title | Description | Dataset | Notebooks |
---|---|---|---|
Saving and Loading Trained Models -- from TensorFlow Checkpoint Files and NumPy NPZ Archives | TBD | TBD |
Title | Description | Notebooks |
---|---|---|
TorchMetrics | How do we use it, and what's the difference between .update() and .forward()? |