Perform text-based AI training and generation using OpenAI's GPT-2 and EleutherAI's GPT Neo/GPT-3 architecture.
Bring data to life with NVIDIA RAPIDS and Plot.ly
Run and compare different QA models with Hugging Face
Train Detectron2 on custom object detection data
Learn how to work with these fundamental DL frameworks
Achieve state-of-the-art image classification without the long training times
Master the Dataloader Class in PyTorch
Visualize and compare different optimizers like Adam, AdaGrad, and more.
Various models with attention mechanisms
The 10 essential callback functions in TensorFlow
Train an Agent to Play Super Mario Bros
Adapt GauGAN for your own data
Learn how to use multiple GPUs with PyTorch
Learn how to use the autograd package in PyTorch
Learn how to train an image classifier using the torchvision package in PyTorch
Learn how to build a neural network from scratch using PyTorch
Learn the essentials of working with tensors in PyTorch