Chapter15 - Intro to Federated Learning - Deep Learning on Unseen Data.ipynb renamed notebooks Nov 2, 2018 Chapter3 - Forward Propagation - Intro to Neural Prediction.ipynb ch3 Nov 2, 2018 Chapter4 - Gradient Descent - Intro to Neural Learning.ipynb ...
Grokking Deep Learning最新版(无水印)+源代码 一本绝佳的深度学习入门书!CSDN不能免费就要一个币吧,物超所值!书名直译,就叫《与深度学习神交》吧。虽是新书,但作者并非无名之辈,而且不论是GitHub,还是Twitter,都纷纷点赞这本新教材。更重要的是,这还是一本入门教材。作者说,这本书写了近3年,边写边接受反馈...
8. Introduction to value-based deep reinforcement learning (Livebook) (Notebook) Implementation of a value-based deep reinforcement learning baseline: Neural Fitted Q-iteration (NFQ) 9. More stable value-based methods (Livebook) (Notebook) Implementation of "classic" value-based deep reinfor...
“This is a really good way to get into deep learning, and Neural Networks. It builds up from the most fundamental level to advanced concepts in an easily digestible way. Every chapter is chock full of example code, which is also available in a GitHub repository so that you can follow al...
1. Introduction to deep reinforcement learning (Livebook) (No Notebook) 2. Mathematical foundations of reinforcement learning (Livebook) (Notebook) Implementations of several MDPs: Bandit Walk Bandit Slippery Walk Slippery Walk Three Random Walk Russell and Norvig's Gridworld from AIMA FrozenLake...
1. Introduction to deep reinforcement learning (Livebook) (No Notebook) 2. Mathematical foundations of reinforcement learning (Livebook) (Notebook) Implementations of several MDPs: Bandit Walk Bandit Slippery Walk Slippery Walk Three Random Walk ...
This repo host code for some chapters of the Grokking Deep Learning book by Andrew Trask - GitHub - nemacrux/grokking-dl-trask-book: This repo host code for some chapters of the Grokking Deep Learning book by Andrew Trask
Grokking is a phenomenon in which a neural network continues learning after fully memorizing training data. That is, the loss-function on the validation data drops after several iterations with zero error on the training data. Previously, there was a rule that you need to stop learning, but ...
Latest commit Cannot retrieve latest commit at this time. History 18 Commits README MIT license Grokking PyTorch PyTorchis a flexible deep learning framework that allows automatic differentiation through dynamic neural networks (i.e., networks that utilise dynamic control flow like if statements and wh...