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tf2.0/exercises.txt

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Logistic Regression
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https://www.kaggle.com/uciml/pima-indians-diabetes-database
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https://lazyprogrammer.me/course_files/exercises/diabetes.csv
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Linear Regression
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https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html
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https://lazyprogrammer.me/course_files/exercises/boston.txt
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ANN
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https://archive.ics.uci.edu/ml/datasets/ecoli
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https://lazyprogrammer.me/course_files/exercises/ecoli.csv
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CNN
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https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
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https://lazyprogrammer.me/course_files/fer2013.csv
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RNN
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Find your own stock price dataset!
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NLP
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https://www.kaggle.com/crowdflower/twitter-airline-sentiment
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https://lazyprogrammer.me/course_files/exercises/AirlineSentimentTweets.csv
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Recommender Systems
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http://www2.informatik.uni-freiburg.de/~cziegler/BX/
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http://lazyprogrammer.me/course_files/exercises/BX-CSV-Dump.zip
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Transfer Learning
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https://www.kaggle.com/c/dogs-vs-cats
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GAN
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https://www.kaggle.com/c/dogs-vs-cats
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DeepRL
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Find your own stock price dataset!

tf2.0/extra_reading.txt

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https://arxiv.org/abs/1703.03906
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Practical Deep Reinforcement Learning Approach for Stock Trading
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https://arxiv.org/abs/1811.07522
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https://arxiv.org/abs/1811.07522
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Inceptionism: Going Deeper into Neural Networks
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https://ai.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html

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