Hi I’m Giancarlo, a PhD student in Data Science with a passion for deep learning. I started my journey in deep learning two years ago at the beginning of my PhD and since then I had the possibility to learn, code faster and experiment thanks to many resources freely available on the web. This is great and I’m very glad for that so I decided in this first post to list the blog articles, books, libraries, websites, courses and video related to deep learning that I found most valuable. I principally work with Python on NLP and this is reflected in this list that’s more biased towards these arguments, specially for the coding part. I will gradually update this list as I find new interesting resources. Enjoy!

BOOKS

• DeepLearningBook.org
• NLP with Python

BLOGS

• Andrej Karpathy
• Ilya Sutskever
• I am Trask
• Chris Olaph
• Adit Deshpande
• DeepMind
• WildML
• Xiang Zhang
• Charles Martin
• Jonas Degrave
• Machine Learning Mastery
• Kaggle Official Blog

ONLINE JOURNAL

• Distill

COURSES

• Google Udacity Deep Learning
• Coursera Neural Networks and Deep Learning
• Oxford DeepNLP
• Stanford Tensorflow for deep learning research
• Stanford CNN vision
• Stanford NLP with Deep Learning
• Fast.ai course

LIBRARIES

• Keras
• Tensorflow
• PyTorch
• Spacy
• Sklearn
• Gensim

WEBSITES

• Kaggle
• Datascience central
• KDnuggets