The goal of this course is helping you to understand fundamentals of deep learning and get practical skills in its implementation. We will use TensorFlow to illustrate deep learning steps and build an end to end application. For each step, we will review all the basic TensorFlow functions that make that step possible.

We will cover the follow 3 areas:

1. Fundamentals of deep learning

2. Fundamentals of TensorFlow

3. Hands-on exercises with TensorFlow

By the end of this class, you will have inside knowledge of deep learning, and be able to write your own deep learning code in TensorFlow.

You will also be able to run a powerful deep learning model previously trained on ImageNet, and apply it to any new picture you have (bring your photos to this class, just for fun).

Who this course is for:

This course is for anyone who wants to get working knowledge of deep learning. Prior knowledge of machine learning is useful but not required. This course is also for anyone who wants to gain hands-on experience with TensorFlow and use it to build real applications.

Prerequisite of this course:

Prior programming experience with Python. You must know Python to get the most out of this class as our TensorFlow examples and hands-on exercises are all in Python.

Course outline:

1. Introduction to Deep Learning
1) Deep learning in a nutshell. The origin and historical development
2) Fundamental concepts of deep learning
3) Deep learning vs other machine learning methods
4) How to build an end-to-end application in deep learning

2. Introduction to TensorFlow
1) What is TensorFlow?
2) How to install and use TensorFlow?
3) Demo run of TensorFlow and code walk through

3. Two major deep learning models and their TensorFlow implementation
1) Convolutional Neural Network (CNN)
2) Recurrent Neural Network (RNN)

4. Hands-on exercise: Build a deep learning application in TensorFlow
You will have access to an AWS machine where you can play and code with TensorFlow.
TensorFlow is pre-installed by the course instructor.

Instructor for this course:

Junling Hu, a leading expert in artificial intelligence and data science, founder of question.ai, has built natural language application based on deep learning. She is the author of an upcoming book on artificial intelligence and deep learning. She has worked in Samsung, PayPal and eBay where she led teams in building big data applications.

What to bring:

Your Laptop.

Lunch will be provided.

Cancellation policy: The ticket is refundable up until 3 days before the class.

100% Money back guarantee. If you are unhappy after attending the class, you can ask for a full refund by writing to the organizer. (For administrative reasons, refund request needs to be filed within 2 days after the event.)