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Intro to Neural Networks and Deep Learning in Python



Practical Programming
49W 33rd Street, 3rd Fl.
New York, NY
United States


Thursday, November 9, 2017 - 6:30pm to Thursday, November 16, 2017 - 8:30pm


Todays modern machine learning libraries have thoughtful, high-level APIs that allow *anyone* who is comfortable with code to dive in to construction of real-world Neural Networks(NNs) using Deep Learning. Combining Keras and TensorFlow together allows us to learn about how to use NNs and deep learning while abstracting away from a ton of details and keeping the big picture in mind.

Two sessions:
Nov 9, 6.30pm - 9.00pm
Now 16, 6.30pm - 9.00pm

Price for Two Sessions is $99
Follow the link to register:

Important Note: This is not a neural network or Deep Learning theory class. We absolutely will spend time talking about the theory of NNs because we want to pull back the veil a bit and we want to make sure you complete the course with a conceptual understanding of Neural Networks and Deep Learning. But the majority of our time will be spent writing and reading and debugging code written in the high-level parts of the APIs of Keras and TensorFlow.

Who this program is for:
This course is for people who 1) want to get a sense of what Deep Learning is all about and 2) whod like to use the high-level libraries Keras and TensorFlow to write code that implement the basics of Deep Learning on their own laptops or in the cloud via Jupyter Notebooks.

You will learn:
What are Neural Networks And Why Does Everyone Suddenly Care About Them?
What Sorts of Data Science Problems Can Neural Networks Solve?
State of the Art 2017 versus State of the Art 2012: Exactly How Much Has the World Changed In The Last Five Years?
Introduction to Keras and TensorFlow: Learn to Code Neural Networks Using Python
Begin at the Beginning: Programming Feed-Forward Neural Networks in Keras
Math Break: A Bit of Linear Algebra and Differential Calculus Helps Humans Like Us Understand How Neural Networks Learn
More Practice With Neural Networks Putting it All Together

Prerequisites & Preparation:
Python Programming 101