- PyTorch: Building Models: discuss some of the tools PyTorch makes available for building deep learning networks.
- PyTorch: Training tutorial: get used with some familiar terms of the entire Pytorch training loop in action.
- PyTorch Tutorial: Quick start: a quickstart tutorial for Pytorch beginners.
- PyTorch 101: a more-comprehensive tutorial for Pytorch beginners.
- Pytorch Tutorial for Deep Learning Lovers: one more detailed comprehensive Pytorch tutorial.
- Pytorch Tutorial: Transfer Learning for Computer Vision: learn how to train a convolutional neural network for image classification using transfer learning.
- Pytorch Tutorial: Quantized Transfer Learning: a tutorial about quantized transfer learning.
- Pytorch Tutorial: Tensorboard: a tutorial about Pytorch Tensorboard.
- Pytorch Tutorial: Tensors: a tutorial about Pytorch's Tensor.
- Pytorch Tutorial: Data Parallelism: learn how to use multiple GPU with DataParallel.
- Pytorch Tutorial: RNN: a tutorial about RNN (Recurrent Neural Network).
- Pytorch Tutorial: LSTM: a tutorial about LSTM (Long Short-Term Memory).
- Pytorch Tutorial: Simple LSTM: a tutorial about Simple LSTM.
- Deploy Pytorch with REST API using Flask: deploy a PyTorch model using Flask and expose a REST API for model inference.
- Pytorch: The Fundamentals of Autograd: a fundamental overview about Pytorch's Autograd feature.
- PyTorch: CNN Binary Image Classification: a tutorial about CNN binary image classification using PyTorch.
- Large-scale language modeling tutorial (1) & Large-scale language modeling tutorial (2): introduce various techniques required for large-scale language model development.
- Tensorflow Tutorial: a quickstart tutorial for Tensorflow beginners.
- Tensorflow Tutorial: Transfer learning fine tuning: a tutorial about transfer learning & fine tuning using Tensorflow.
- Tensorflow Tutorial: Image classification: a tutorial about Image Classification.
- Tensorflow Tutorial: Image Segmentation: a tutorial about Image Segmentation.
- Course link
- CSC 321 - RNN Tutorial: introduce RNNs and LSTMs.
- CSC 321 - Classification: classification.
- CSC321 - Linear Regression: linear regression.
- Getting started in R: First Steps: a first look for R beginners.
- Getting started in R: Load Data Into R: to get familiar with loading-data-related concepts in R.
- Getting started in R: Summarize Data: to get familiar with summarizing-data-related concepts in R.
(to be updated)