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TF2 by LP for TF prep
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Currently working on Colab and this is to track the progress.

readme.md

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# Bootcamps
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## [RL - Practical AI with Python and Reinforcement Learning - JP - ON HOLD](RL%20-%20Practical%20AI%20with%20Python%20and%20Reinforcement%20Learning%20-%20JP)
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## [RL - Practical AI with Python and Reinforcement Learning - JP - On Hold](RL%20-%20Practical%20AI%20with%20Python%20and%20Reinforcement%20Learning%20-%20JP)
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+ [x] 00. NumPy Crash Course
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+ [x] 01. Matplotlib Visualization
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+ [x] 02. Pandas and Scikit-learn
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+ [x] 03. ANNs
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+ [x] 04. CNNs
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+ [x] 05. Introduction to gym
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+ [] 06. Classical Q Learning
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+ [] 07. Deep Q Learning
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+ [] 08. Deep Q Learning on Images
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+ [] 09. Creating Custom Open AI Gym Environment
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+ [ ] 06. Classical Q Learning
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+ [ ] 07. Deep Q Learning
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+ [ ] 08. Deep Q Learning on Images
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+ [ ] 09. Creating Custom Open AI Gym Environment
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## [Tensorflow 2.0: Deep Learning and Artificial Intelligence - LP](Tensorflow%20-%20TF2%20Deep%20Learning%20and%20Artificial%20Intelligence%20-%20LP)
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+ [x] Section 2 - Google Colab
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+ [ ] Section 3 - Machine Learning and Neurons
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+ [ ] Section 4 - Feedforward Artifical Neural Networks
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+ [ ] Section 5 - CNN Convolutional Neural Networks
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+ [ ] Section 6 - RNN - Recurrent Neural Networks, Time Series, Sequence Data
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+ [ ] Section 7 - NLP
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+ [ ] Section 8 - Recommender Systems
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+ [ ] Section 9 - Transfer Learning for Computer Vision
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+ [ ] Section 10 - GANs
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+ [ ] Section 11 - Deep Reinforcement Learning (Theory)
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+ [ ] Section 12 - Stock Trading Project with DL
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+ [ ] Section 13: Advanced Tensorflow Usage
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+ [ ] Section 14: Low - Level Tensorflow
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+ [ ] Section 15: In-Depth: Loss Functions
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+ [ ] Section 16: In-Depth: Gradient Descent
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+ [ ] Section 17 - 21: Misc
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## [DeepLearning.AI - Course 04.Sequences, Time Series and Predictions in Tensorflow](Tensorflow%20-%20DeepLearning.AI%20-%2004.Sequences%2C%20Time%20Series%20and%20Predictions)
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+ [x] Week 01 - Sequences and Prediction

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