In the workshop, I will introduce PyTorch workflow, namely creating training and test sets, creating models with PyTorch, making predictions with the model, training a model with PyTorch, writing a testing loop, and saving the model.
This workshop will provide an introduction to deep learning and its applications. Attendees will learn about different types of neural networks such as feedforward networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). The workshop will cover the basics of deep learning frameworks such as TensorFlow and PyTorch.
In this workshop, I will talk about the intuition behind transformers, the popular language model that is used as the backbone for many large models like GPT-3. I will also give example codes to demonstrate the performance of transformers.