Train and deploy a model with the Gradient SDK using the classic MNIST handwritten digits dataset and TensorFlow
Train a neural network model to classify images of clothing using the Fashion MNIST dataset
A dive into the Hugging Face tokenizers and transformers libraries
Using Keras and the fashion-MNIST dataset to generate images with a VAE
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.
Using OpenCV to locate and visualize faces in images
Using TensorFlow to determine objects and surroundings in images
Sentiment Analysis using several different methods in PyTorch
Generate text using the state-of-the-art model from Open.ai
Finding edges of the images using Canny edge detector
