For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
Notebooks and Colab links for the code samples for the Manning video course "Deep Learning Crash Course"
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
Deep Learning for Biology course materials / Higher School of Economics, 2018
Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning
This repo contains my solution to the 5-course Coursera Deep Learning Specialization created by prof. Andrew Ng and deeplearning.ai incorporation in 2017-2018
Course Materials for ELL 881 2018: Fundamentals of Deep Learning
Materials for the University of Turku course TKO_8965 Deep Learning in Human Language Technology (previously named TKO_2101 Natural Language Processing)