The Terrible Deep Learning List Part 1 - Tutorials
The Terrible Deep Learning List Part 1 - Deep Learning on AWS & Using APIs
The Terrible Deep Learning List Part 1 - Tutorials walks through 5 open source deep learning models using AWS, your laptop, and/or calling APIs that programmers interested in deep learning can download and run first try. Seeing these examples come to life for the first time feels like magic. I want other programmers to experience this wonder. This is a terrible deep learning list. No attempt has been made to "cover all the bases" of the field of deep learning. But - If you have never "dived deep" into Deep Learning and just want to try something out, these examples are for you!
Questions? Email [email protected]
A best effort has been made to make these tutorials as up-to-date as possible. I have listed every step involved in making these work and explained what is going on as you run them in order to have you move beyond starring the Github Repo and into deploying these deep learning models.
This 5 lesson course would not exist without the open source authors, Algorithmia, Clarifai, Anant Gupta, Abhishek Kumar, Yen-Chen Lin, Sash Zats, Marc Brown, Stephen Anthony, Manuel Ruder, and Shantanu Johri., who wrote this code. They are the reason Part 1 of The Terrible Deep Learning List was written in the first place and I would like to take this time to thank them for their contribution to creating an opportunity for hundreds of software engineers to begin learning deep learning.
Remember, if you're getting into deep learning - change the world!
Sam Putnam is CEO/Founder, and a Deep Learning Consultant, at Enterprise Deep Learning. He directs machine learning projects, solves clients' business problems, and trains deep neural networks on large datasets. Sam is also a contributor to the TensorFlow machine learning project and a member of the Machine Learning Society.