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Viewing stevetao's Bookmarks
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data | H3ll0 Un1v3rse
[http://hellowuniverse.com/2017/09/15/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data/] -
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stevetao
Free Book on Neural Network : Artificial Intelligence | Download free books legally
[https://www.topfreebooks.org/free-books-on-neural-network-artificial-intelligence/] -
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stevetao
Free Computer Science eBooks Online : Artificial Intelligence | Download free books legally
[https://www.topfreebooks.org/free-computer-science-ebooks-online-artificial-intelligence/] -
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stevetao
Gaussian Processes for Machine Learning: Contents
[http://www.gaussianprocess.org/gpml/chapters/] -
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stevetao
The Future of Machine Intelligence [Book]
[https://www.oreilly.com/library/view/the-future-of/9781492042334/?intcmp=il-data-free-lp-lgen_free_reports_page] -
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stevetao
Machine Learning for Designers [Book]
[https://www.oreilly.com/library/view/machine-learning-for/9781491971444/] -
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stevetao
Applied Machine Learning in Python with scikit-learn — scikit-learn tutorial v0.7+ documentation
[http://gael-varoquaux.info/scikit-learn-tutorial/] -
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stevetao
Machine Learning, Neural and Statistical Classification
[http://www1.maths.leeds.ac.uk/~charles/statlog/] -
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stevetao
Mark Watson: consultant specializing in artificial intelligence, machine, and natural language processing learningMark Watson: consultant specializing in artificial intelligence, machine, and natural language processing learning
[http://markwatson.com/books/] -
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stevetao
A Course in Machine Learning
[http://ciml.info/] -
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stevetao
Machine Learning Yearning
[http://www.mlyearning.org/] -
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stevetao
Bayesian Methods for Hackers
[http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/] -
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stevetao
Understanding Machine Learning
[http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/] -
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stevetao
Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.
[https://web.stanford.edu/~hastie/ElemStatLearn/index.html] -
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stevetao
10 Free Must-Read Books for Machine Learning and Data Science
[https://www.kdnuggets.com/2017/04/10-free-must-read-books-machine-learning-data-science.html] -
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stevetao
Beyond DQN/A3C: A Survey in Advanced Reinforcement Learning
[https://towardsdatascience.com/advanced-reinforcement-learning-6d769f529eb3] -
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stevetao
Develop Your First Neural Network in Python With Keras Step-By-Step
[https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/] -
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stevetao
Actor-Critic Methods: A3C and A2C
[https://danieltakeshi.github.io/2018/06/28/a2c-a3c/] -
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stevetao
What is Advantage Learning?
[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/learn-43/lib/idauction2/.g/web/glossary/advantage.html] -
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stevetao
What is One Hot Encoding? Why And When do you have to use it?
[https://hackernoon.com/what-is-one-hot-encoding-why-and-when-do-you-have-to-use-it-e3c6186d008f] -
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stevetao
Let’s make an A3C: Implementation | ヤロミル
[https://jaromiru.com/2017/03/26/lets-make-an-a3c-implementation/] -
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stevetao
Asynchronous Advantage Actor Critic (A3C) — Ray 0.5.2 documentation
[https://ray.readthedocs.io/en/latest/example-a3c.html] -
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stevetao
Deep Reinforcement Learning: Playing CartPole through Asynchronous Advantage Actor Critic (A3C)…
[https://medium.com/tensorflow/deep-reinforcement-learning-playing-cartpole-through-asynchronous-advantage-actor-critic-a3c-7eab2eea5296] -
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stevetao
Reinforcement learning with the A3C algorithm
[https://cgnicholls.github.io/reinforcement-learning/2017/03/27/a3c.html] -
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stevetao
Using Asynchronous Method For Deep Reinforcement Learning
[https://www.analyticsindiamag.com/using-asynchronous-method-for-deep-reinforcement-learning/] -
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stevetao
Introduction to Machine Learning
[https://ai.stanford.edu/~nilsson/mlbook.html] -
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stevetao
Reinforcement Learning: An Introduction
[http://incompleteideas.net/book/ebook/the-book.html] -
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stevetao
Series Forward
[http://incompleteideas.net/book/ebook/node3.html] -
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stevetao
Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks
[https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0] -
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stevetao
GitHub - MorvanZhou/pytorch-A3C: Simple A3C implementation with pytorch + multiprocessing
[https://github.com/MorvanZhou/pytorch-A3C] -
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stevetao
Simple Reinforcement Learning with Tensorflow Part 8: Asynchronous Actor-Critic Agents (A3C)
[https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-8-asynchronous-actor-critic-agents-a3c-c88f72a5e9f2] -
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stevetao
asynchronous advantage actor critic (a3c) - Google Search
[https://www.google.com/search?q=asynchronous+advantage+actor+critic+(a3c)&rlz=1C1GGRV_enUS801US801&oq=asynchronous+advantage+actorcritic&aqs=chrome.2.69i57j0l5.3095j0j8&sourceid=chrome&ie=UTF-8] -
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stevetao
Asynchronous Agent Actor Critic (A3C) – hdmetor's blog
[https://hdmetor.github.io/a3c-explained/] -
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stevetao
TensorflowSharp — Xamarin Community Forums
[https://forums.xamarin.com/discussions/tagged/tensorflowsharp/p1] -
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stevetao
GitHub - migueldeicaza/TensorFlowSharp: TensorFlow API for .NET languages
[https://github.com/migueldeicaza/TensorFlowSharp] -
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stevetao
TensorFlowSharp/Examples at master · migueldeicaza/TensorFlowSharp · GitHub
[https://github.com/migueldeicaza/TensorFlowSharp/tree/master/Examples] -
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stevetao
Getting Started With TensorFlowSharp
[https://migueldeicaza.github.io/TensorFlowSharp/articles/start.html] -
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stevetao
c# - How to reshape a tensor in TensorFlowSharp - Stack Overflow
[https://stackoverflow.com/questions/45753153/how-to-reshape-a-tensor-in-tensorflowsharp] -
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stevetao
GAN: A Beginner’s Guide to Generative Adversarial Networks - Deeplearning4j: Open-source, Distributed Deep Learning for the JVM
[https://deeplearning4j.org/generative-adversarial-network] -
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stevetao
Neural networks and deep learning
[http://neuralnetworksanddeeplearning.com/] -
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stevetao
TensorFlow Tutorial For Beginners (article) - DataCamp
[https://www.datacamp.com/community/tutorials/tensorflow-tutorial] -
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stevetao
Image Segmentation using Varieties of Auto Encoders in Tensorflow [ Manual Back Prop with TF ]
[https://towardsdatascience.com/image-segmentation-using-varieties-of-auto-encoders-in-tensorflow-manual-back-prop-with-tf-2e688f2a98f7] -
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stevetao
Image Segmentation with Tensorflow using CNNs and Conditional Random Fields
[http://warmspringwinds.github.io/tensorflow/tf-slim/2016/12/18/image-segmentation-with-tensorflow-using-cnns-and-conditional-random-fields/] -
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stevetao
MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges
[http://yann.lecun.com/exdb/mnist/] -
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stevetao
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