For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
This Repository contains Python Notebooks to learn PyTorch starting from the very basics of implementing gradient descent algorithm in Python and Numpy and slowly moving up the ladder to Deep Learning using PyTorch
Notebooks and Colab links for the code samples for the Manning video course "Deep Learning Crash Course"
Deep Learning for Biology course materials / Higher School of Economics, 2018
TensorFlow Inception Apache Zeppelin Notebook Python
Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning
Course Materials for ELL 881 2018: Fundamentals of Deep Learning
Course on deep learning and it's applications in Computer Vision, Natural Language Processing and Reinforcement Learning