Rajalingappaa Shanmugamani "Deep Learning for Computer Vision" (2018).
Highly recommend.
#DeepLearning , #Keras , #Tensorflow
Highly recommend.
#DeepLearning , #Keras , #Tensorflow
Cheatsheets for each machine learning field and ultimate complition of concepts from Stanford CS. Updated (2018) and in pdf version
MIT Deep Learning courses list from scholars and video tutorials, lectures series
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The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)
Some important discussion and effective learning method from specialists. I'll highly recommend to read this greate article
Wonderfully interactive, gentle, and well done introduction to probability and statistics. Walk through this with your favorite kid and give them a head-start in life on ML
https://seeing-theory.brown.edu/basic-probability/index.html
https://seeing-theory.brown.edu/basic-probability/index.html
seeing-theory.brown.edu
Basic Probability
This chapter is an introduction to the basic concepts of probability theory.
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A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
NLP 2018 Highlights
By Elvis Saravia.
Summary of all the biggest NLP stories, state-of-the-art results and new interesting research directions of the year coming from both academia and the industry
By Elvis Saravia.
Summary of all the biggest NLP stories, state-of-the-art results and new interesting research directions of the year coming from both academia and the industry
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Papers with codes, which published in top conferences and sorted by stars. Read the paper and play with code. This repository is continuous progress and weekly update