https://github.com/ajithvcoder/eva-extensive_vision_ai

The School of A.I - EVA Course https://theschoolof.ai/
https://github.com/ajithvcoder/eva-extensive_vision_ai

deeplearning reinforcement-learning

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The School of A.I - EVA Course https://theschoolof.ai/

• Host: GitHub
• URL: https://github.com/ajithvcoder/eva-extensive_vision_ai
• Owner: ajithvcoder
• Created: 2019-04-27T09:08:55.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2023-10-03T22:00:02.000Z (over 1 year ago)
• Last Synced: 2025-01-12T19:30:37.023Z (4 months ago)
• Topics: deeplearning, reinforcement-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 53.7 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

        
# Course : Extensive Vision AI (EVA #3)

Duration : 9 months* (I did for 1.2 years)

Syllabus : [Details](https://theschoolof.ai/#details)

**Contents**

- [Assignments](#Assignments)      

   * [Phase 1 - Deep Learning ](#Phase-1---Deep-Learning)

   * [Phase 2 - Reinforcement Learning](#Phase-2---Reinforcement-Learning)

- [Result](#Result)

- [Credits](#Credits)

## Assignments

### Phase 1 - Deep Learning 

Session 1 - Introduction to Computer Vision - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/project1)

Session 2 - Neural Architecture - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session2)

Session 3 - First Neural Network - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session3)

Session 4 - Architecture Basics - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session4)

Session 5 -bBatch normalization and Regularization - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session5)

Session 6 - Advanced Convolutions - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session6)

Session 7 -Network Architectures and Receptive Fields [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session7)

Session 8 - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session8)

Session 9 - Data Augumentation - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session9)

Session 10 - Interpretability - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session10)

Session 11 - Advanced Concepts in Training and Learning Rates [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session10)

Session 12 - Super Convergenece - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session10)

Session 13 - RESNETS -[Assignment](https://github.com/ajithvallabai/assignments/tree/master/session10)

Session 14 - RESNET PART2-[Assignment](https://github.com/ajithvallabai/assignments/tree/master/session10)

Session 15 - DENSENETs - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session10)

Session 16 - Object Localization - YOLO

Session 17 - RCNN - Faster RCNN & Mask RCNN

Session 18 - Face Recognition

Session 19 - GENERATIVE ADVERSARIAL NETWORKS [Assignment](https://github.com/ajithvallabai/assignments/tree/master/session10)

### Phase 2 - Reinforcement Learning

Session 1 - Neural Word Embeddings -[Assignment](https://github.com/ajithvallabai/assignments/tree/master/phase2_session1)

Session 2 - Recurrent neural Networks 

Session 3 - LSTMs 

Session 4 - GRU,Attention mechanism and memory networks

Session 5 - Reinforcement Learning - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/phase2_session5)

Session 6 - Q Learning

Session 7 - Deep Q learning

Session 8 - Continous Action Spaces- [Assignment](https://github.com/ajithvallabai/assignments/tree/master/phase2_session8)

Session 9 - A3C and T3D - [Assignment](https://github.com/ajithvallabai/assignments/tree/master/phase2_session9)

Session 10 - END GAME 

Final Project - [Project ENDGAME Self Driving Car - TD3](https://github.com/ajithvallabai/assignments/tree/master/Project_Endgame)

## Credits 

* [Rohan Shravan](https://www.google.com/search?safe=active&sxsrf=ALeKk03ViVAZ5ek_9vHbQ4Lg7UXMqN-rMA%3A1592201626546&ei=mhHnXrL-IO-e4-EPq4GH8AU&q=Rohan+Shravan&oq=Rohan+Shravan&gs_lcp=CgZwc3ktYWIQAzIECCMQJzICCAAyBAgAEB4yBAgAEB4yBAgAEB4yBAgAEB4yBAgAEB4yBggAEAUQHjIECAAQHjoECAAQRzoHCCMQsAIQJzoECAAQDToGCAAQDRAeUKObBVjFswVg_bcFaABwAXgAgAGmAogB6gWSAQUwLjMuMZgBAKABAaoBB2d3cy13aXo&sclient=psy-ab&ved=0ahUKEwiys_GilYPqAhVvzzgGHavAAV4Q4dUDCAw&uact=5) 

* [The School of A.I ](https://theschoolof.ai/)