Love to explore and learn new concepts. I am extremely interested in artificial intelligence, deep learning, robots, and the universe.
This new comprehensive guide will usher you through creating your own transformers nlp model for semantic analysis following two methodologies: from scratch and using a pre-trained TF-Hub model.
This tutorial breaks down creating an autoencoder from scratch using Keras and TensorFlow.
In last weeks tutorial, we learned how reinforcement learning works and applied it to the cart pole problem on Gradient. This week we will look at the cart pole problem in more depth, and show how to use reinforcement learning for complex problem solving!
In this introductory guide, you will learn how the basics of reinforcement learning, and see how it can be applied in practice on a starter project: the cart pole problem.
Follow this tutorial to learn how to use TensorFlow to impart stylistic characteristics of one photo onto another on Gradient!
Wasserstein GANs are an innovative improvement to traditional GANs. Use this guide to learn hands on how to create your own WGAN from scratch!
Learn how to use SRGANs to upscale your low resolution photos to HD using Gradient.
A primer for developing a custom neural network to learn to generate novel facial images using Deep Convolutional generative adversarial networks.
Interested in getting started with Deep Learning? This guide shows you how to get started with PyTorch, tensors, and constructing Neural Networks with PyTorch.
