A systematic study of Deep Learning
This repository will be dedicated to the study of Deep Learning. So, I will start from the Pre-requisites and then slowly build the concepts. This is based on a series of courses I have been taking (Jan 2017 ...) on Udemy from Lazy Programmer Inc. The courses look promising and will surely invoke a creative child in you. So, buckle up and enjoy... The courses I'll try to cover are below. I'll upload the repositories based on my own progress with the Udemy Courses. If you are more interested pls visit https://www.udemy.com/user/lazy-programmer/
-2. Deep Learning Prerequisites: The Numpy Stack in Python -1. Deep Learning Prerequisites: Linear Regression in Python 0. Deep Learning Prerequisites: Logistic Regression in Python
- Data Science : Deep learning in Python
- Data Science: Practical Deep Learning in Theano + TensorFlow
- Deep Learning: Convolutional Neural Networks in Python
- Unsupervised Deep Learning in Python
- Deep Learning: Recurrent Neural Networks in Python
- Natural Language Processing with Deep Learning in Python
Reference Courses : Cluster Analysis and Unsupervised Machine Learning in Python Unsupervised Machine Learning Hidden Markov Models in Python Easy Natural Language Processing (NLP) in Python Bayesian Machine Learning in Python_A-B testing