In this tutorial, we show how to construct the pix2pix generative adversarial from scratch in TensorFlow, and use it to apply image-to-image translation of satellite images to maps.
Learn how to write and implement AlexNet from scratch in Gradient!
In this tutorial, we look at various methodologies that facilitate and aid the interpretation of several computer vision models, including LIME, SHAP, Grad-CAM, Guided Grad-CAM, and Expected Gradients.
Follow our latest tutorial to see how to implement use Colossal AI with Gradient Notebooks to train a ResNet34 classifier on a multi-GPU machine.
Follow this tutorial to learn how GLIDE works and see how to implement it in a Gradient Notebook
In this new tutorial, you will learn how to harness dlib to recognize faces in your personal photos.
This tutorial breaks down creating an autoencoder from scratch using Keras and TensorFlow.
This tutorial shows how to setup and run JoJoGAN on Gradient Notebooks to create style transferred images.
Follow this tutorial to see how to create your own LeNet5 neural net from scratch using PyTorch on Gradient!
