Introduction to TensorFlow
What you'll learn, and how you can apply it
- Understand what machine learning, neural networks, deep learning, and artificial intelligence are
- Discover what TensorFlow is and what applications it's good for
- Create deep learning models for classification and regression using TensorFlow
- Evaluate the benefits and disadvantages of using TensorFlow over other machine learning software
Who is this presentation for?
- You're a software engineer or programmer with a background in Python, and you wish to develop an understanding of machine learning.
- You have experience modeling or have a background in data science, and you would like to learn TensorFlow and deep learning.
- You're in a nontechnical role, and you would like to more effectively communicate with the engineers and data scientists in your company about TensorFlow and neural networks.
Level
Prerequisites:
- Familiarity with Python, matrices, modeling, and statistics
Outline
Day 1
- Introduction to TensorFlow
- Iterative algorithms
- Machine learning
- Basic neural networks
Day 2
- Deep neural networks
- Variational autoencoders
- Convolutional neural networks
- Adversarial noise
- DeepDream
- Recurrent neural networks
About your instructor
Robert Schroll is a data scientist in residence at the Data Incubator. Previously, he held postdocs in Amherst, Massachusetts, and Santiago, Chile, where he realized that his favorite parts of his job were teaching and analyzing data. He made the switch to data science and has been at the Data Incubator since. Robert holds a PhD in physics from the University of Chicago.
Conference registration
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Comments
Hi Robert,
Could you please post the slides and a link? Many thanks
Hi Robert,
I’ve been working with Keras for over 2 years and I have very good knowledge of building and training CNNs using Keras. My objective is to have a more in-depth knowledge of Tensorflow 2.0 and its APIs. Will this be covered in the training?
Hi Dan! We will definitely be introducing the Keras API, and a lot of our code uses Keras. We’re working on upgrading the curriculum to TF2, and I’m pretty confident we’ll have it ready to go by October.
Hi, I’m interested in the Introduction to Tensorflow training session. I have had a little experience with Keras and would prefer to use the Keras interface to tensorflow as much as possible. Will you be using the Keras implementation in Tensorflow in this session? Also, Tensorflow 2 should be in RC or even released by the conference. I’d prefer to use Tensorflow 2 in the training session. Will you be using Tensorflow 2?
Many thanks,
Daniel
Hi Robert. By “glance at some introductory materials” I presume you mean look through some getting started info at https://www.tensorflow.org/tutorials/. Yes? I will certainly do this. Thank you for your response!
Hi Scott! In the first session, we introduce some of the basic operations in TensorFlow. If you a quick glance at some introductory materials before the course, I’m sure you’ll be able to catch up quickly before we get into any of the material focused on deep learning or neural networks.
I’m registered for the 2-day Intro to TensorFlow training, but I might not be able to arrive until Monday morning. Do you think that if I arrive approx. an hour late (10am) will I miss so much that I am unable to catch up over the first break?
Thanks.