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DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

TutorialsML/AI fundamentals
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创建于 2018-11-25 · 更新于 2026-10-13 · 今日第 13073 名
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enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning 排名第 13,073，有 865 个星标。

同类别比较

enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning 排名第 13,073，此处有 8 个同类条目；qqiang00/Reinforce 排名第 13,090。

同类别比较
名称排名指标
dalmia/David-Silver-Reinforcement-learning13,016
语言:
Jupyter Notebook
星标数:
872
分叉数:
211
简介:
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
YutaroOgawa/pytorch_advanced13,023
语言:
Jupyter Notebook
星标数:
871
分叉数:
339
简介:
書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです
triton-inference-server/tutorials13,039
语言:
Python
星标数:
870
分叉数:
158
简介:
This repository contains tutorials and examples for Triton Inference Server
dongdonghy/Detection-PyTorch-Notebook13,044
语言:
Python
星标数:
869
分叉数:
364
简介:
代码 -《深度学习之PyTorch物体检测实战》
qqiang00/Reinforce13,090
语言:
Jupyter Notebook
星标数:
864
分叉数:
469
简介:
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
zkywsg/Daily-LLM13,093
语言:
TypeScript
星标数:
864
分叉数:
158
简介:
🔥机器学习/深度学习/Python/大模型/多模态/LLM/deeplearning/Python/Algorithm interview/NLP Tutorial
Azure-Samples/serverless-chat-langchainjs13,094
语言:
TypeScript
星标数:
863
分叉数:
486
简介:
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
abhimishra91/transformers-tutorials13,095
语言:
Jupyter Notebook
星标数:
863
分叉数:
195
简介:
Github repo with tutorials to fine tune transformers for diff NLP tasks
关键参数与规格
关键参数与规格
参数值
类别Tutorials
子类别ML/AI fundamentals
关键词RL
星标数865
分叉数274
贡献者1
创建日期2018-11-25
更新日期2026-10-13
1 天星标数0
7 天星标数-1
排名13,073
上次排名12,966
排名变化-107
7 天星标排名17,508
上次 7 天星标排名17,470
7 天星标排名变化-38
总星标排名12,499
上次总星标排名12,480
总星标排名变化-19
国家UK
README 摘录

Advanced Deep Learning and Reinforcement Learning Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with DeepMind Deep Learning Part Deep Learning 1: Introduction to Machine Learning Based AI [[slides]]( [[video]]( Deep Learning 2: Introduction to TensorFlow [[slides]]( [[video]]( Deep Learning 3: Neural Networks Foundations [[slides]]( [[video]]( Deep Learning 4: Beyond Image Recognition, End-to-End Learning, Embeddings [[slides]]( [[video]]( Deep Learning 5: Optimization for Machine Learning [[slides]]( [[video]]( Deep Learning 6: Deep Learning for NLP [[slides

]]( [[video]]( Deep Learning 7. Attention and Memory in Deep Learning [[slides]]( [[video]]( Deep Learning 8: Unsupervised learning and generative models [[slides]]( [[video]]( Reinforcement Learning Part Reinforcement Learning 1: Introduction to Reinforcement Learning [[slides]]( [[video]]( Reinforcement Learning 2: Exploration and Exploitation [[slides]]( [[video]]( Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming [[slides]]( [[video]]( Reinforcement Learning 4: Model-Free Prediction and Control [[slides]]( [[video]]( Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning [[slides]]( [[video]]( Reinforcement Learning 6: Policy Gradients and

Actor Critics [[slides]]( [[video]]( Reinforcement Learning 7: Planning and Models [[slides]]( [[video]]( Reinforcement Learning 8: Advanced Topics in Deep RL [[slides]]( [[video]]( Reinforcement Learning 9: A Brief Tour of Deep RL Agents [[slides]]() [[video]]( Reinforcement Learning 10: Classic Games Case Study [[slides]]() [[video]](

常见问题

记录了多少星标和分叉？

enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning 有 865 个星标和 274 个分叉。

仓库排名是多少？

enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning 排名第 13,073。

哪个仓库排名最接近？

enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning 与 qqiang00/Reinforce 比较，后者排名第 13,090，有 864 个星标。

README

Advanced Deep Learning and Reinforcement Learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with DeepMind

Deep Learning Part

Deep Learning 1: Introduction to Machine Learning Based AI

[slides] [video]

Deep Learning 2: Introduction to TensorFlow

[slides] [video]

Deep Learning 3: Neural Networks Foundations

[slides] [video]

Deep Learning 4: Beyond Image Recognition, End-to-End Learning, Embeddings

[slides] [video]

Deep Learning 5: Optimization for Machine Learning

[slides] [video]

Deep Learning 6: Deep Learning for NLP

[slides] [video]

Deep Learning 7. Attention and Memory in Deep Learning

[slides] [video]

Deep Learning 8: Unsupervised learning and generative models

[slides] [video]

Reinforcement Learning Part

Reinforcement Learning 1: Introduction to Reinforcement Learning

[slides] [video]

Reinforcement Learning 2: Exploration and Exploitation

[slides] [video]

Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming

[slides] [video]

Reinforcement Learning 4: Model-Free Prediction and Control

[slides] [video]

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

[slides] [video]

Reinforcement Learning 6: Policy Gradients and Actor Critics

[slides] [video]

Reinforcement Learning 7: Planning and Models

[slides] [video]

Reinforcement Learning 8: Advanced Topics in Deep RL

[slides] [video]

Reinforcement Learning 9: A Brief Tour of Deep RL Agents

[slides] [video]

Reinforcement Learning 10: Classic Games Case Study

[slides] [video]

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