Train and deploy a model with the Gradient SDK using the classic MNIST handwritten digits dataset and TensorFlow
Using Keras and the fashion-MNIST dataset to generate images with a VAE
Train a neural network model to classify images of clothing using the Fashion MNIST dataset
A quick how-to guide on using Gradient Notebooks
Run the latest Fast.ai V3 course from Jeremy Howard and the crew at USF
Train a logistic regression model based on the MNIST dataset.
Sentiment Analysis using several different methods in PyTorch
Generate text using the state-of-the-art model from Open.ai
Using TensorFlow to determine objects and surroundings in images
Using OpenCV to locate and visualize faces in images
Finding edges of the images using Canny edge detector
Generating natural-looking aged photos with GANs
Using fast.ai to build a state of the art bacterial classifier with the DIBaS dataset.
Learn the essentials of working with tensors in PyTorch.
Learn how to build a neural network from scratch using PyTorch.
Learn how to train an image classifier using the torchvision package in PyTorch.
Learn how to use the autograd package in PyTorch.
