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Bits and pieces | A collection of items that interest meA collection of items that interest me
http://srippa.wordpress.com/
A collection of items that interest me
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Bits and pieces | A collection of items that interest me | srippa.wordpress.com Reviews
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A collection of items that interest me
Reinforcement learning | Bits and pieces
https://srippa.wordpress.com/2016/05/06/reinforcement-learning
A collection of items that interest me. May 6, 2016. May 7, 2016. Demystifying Deep Reinforcement Learning (2016). Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out.
Deep learning SW libraries | Bits and pieces
https://srippa.wordpress.com/2015/11/06/deep-learning-sw-libraries
A collection of items that interest me. November 6, 2015. May 7, 2016. Deep learning SW libraries. Evaluation of Deep learning toolkits. Comparing popular open source frameworks. A comparison of deep learning frameworks. Deep laerning frameworks (Oct 2015). Benchmarks on different frameworks on same problems. Including examples of network architectures. The READ me portion. Of the benchmark points to the original papers describing various architectures. 8211; list of links. 8211; lists of links. Nervanas...
July | 2015 | Bits and pieces
https://srippa.wordpress.com/2015/07
A collection of items that interest me. July 24, 2015. May 6, 2016. Getting started with Deep learning. Structures list of videos, tutorials, courses on AI, cognitive computing and deep learning. Another link to various AI related resources. Tutorials and best data scientists to follow (2015). List of best blogs to follow (2015). Deep learning tutorial from Stanford. Deep learning in a nutshell:. Nandos de Freitas: YouTube video series. Deep learning summer school 2015. ML class 10-701 (2015). List of Py...
November | 2015 | Bits and pieces
https://srippa.wordpress.com/2015/11
A collection of items that interest me. November 21, 2015. May 20, 2016. Neural networks and backpropagation (2012). 8211; Good post with full mathematical derivation and accompanied GitHub repository. Python code for NN. 8211; latest AI code. How I learned to code Neural Network. 8211; a good post with lots of references to resources for learning NN and another reference to the author’s data-sets site. View Welch labs on Youtube. And week 4 of Andrew Ng course. A step-by-step BP example. I am trask blog.
Unsupervised learning | Bits and pieces
https://srippa.wordpress.com/2016/03/19/unsupervised-learning
A collection of items that interest me. March 19, 2016. May 7, 2016. SigOpt for ML: Unsupervised Learning with Even Less Supervision Using Bayesian Optimization. Unsupervised Computer Vision: The State of the Art. A tutorial on deep learning part 2: Autoencoders. By Quoc V. Le. Paper: Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles (2016). Back to basics (2013). Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:.
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Bits and pieces | A collection of items that interest me
A collection of items that interest me. July 15, 2016. July 16, 2016. Building and training your first TensorFlow graph from the grounds up. Deep learning – Udacity. Creative Applications of Deep Learning with TensorFlow. Wide and Deep Learning: Better Together with TensorFlow. Building Machine Learning Estimator in TensorFlow. Slides by Jeff Dean. A curated list of awesome TensorFlow experiments, libraries, and projects. The Good, Bad, and Ugly of TensorFlow (2016). TensorFlow vs Theano vs Torch. Paper:...
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