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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 sam@edeeplearning.com

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!


Your Instructor


Sam Putnam
Sam Putnam

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.


Class Curriculum


  Gated Conditional Pixel Convolutional Neural Network using TensorFlow
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  Value Iteration Networks using TensorFlow — Best Paper Award NIPS ‘16
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  Flappy Bird using Deep Reinforcement Learning (Deep Q-learning)
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  LSTM Music Generation with Google Magenta Basic RNN
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  Live Captioning using Speech APIs on iOS
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  Spotify Artist Search using Speech APIs on iOS
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  Symbolic AI Speech Recognition with iOS 10 Speech APIs
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  Video Style Transfer using Torch 7
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  Algorithmia API Photo Colorizer
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  Clarifai Information Retrieval for Videos on Android
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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