Explore >> Select a destination

You are here

 bytepawn.com
Bytepawn - Marton Trencseni - PyTorch Basics: Solving the Ax=b matrix equation with gradient descent
| | brandinho.github.io
Accelerated Proximal Policy Optimization - Brandon Da Silva
1.6 parsecs away

Travel
| | Reinforcement Learning, Neural Networks, Policy Gradient
| | bdtechtalks.com
A simple guide to gradient descent in machine learning - TechTalks
1.5 parsecs away

Travel
| | Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.
| | programmathically.com
Understanding The Exploding and Vanishing Gradients Problem - Programmathically
1.5 parsecs away

Travel
| | Sharing is caringTweetIn this post, we develop an understanding of why gradients can vanish or explode when training deep neural networks. Furthermore, we look at some strategies for avoiding exploding and vanishing gradients. The vanishing gradient problem describes a situation encountered in the training of neural networks where the gradients used to update the weights []
| | aimatters.wordpress.com
Solving MNIST with a Neural Network from the ground up - On Machine Intelligence
10.6 parsecs away

Travel
| Note: Here's the Python source code for this project in a Jupyter notebook on GitHub I've written before about the benefits of reinventing the wheel and this is one of those occasions where it was definitely worth the effort. Sometimes, there is just no substitute for trying to implement an algorithm to really understand what's...