Sep 9–12, 2019
Deep learning with TensorFlow (Day 2)
Location: Market (Hilton)
Secondary topics:
Deep Learning,
Deep Learning tools,
Machine Learning
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
IntermediateDescription
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 network
Prerequisite knowledge
- Familiarity with Python, matrices, modeling, and statistics
What you'll learn
By the end of this two-day training course, you'll understand:
- What machine learning, neural networks, deep learning, and artificial intelligence are
- What TensorFlow is and what applications it's good for
And you'll be able to:
- Create deep learning models for classification and regression using TensorFlow
- Evaluate the benefits and disadvantages of using TensorFlow over other machine learning software
Presented by
Elite Sponsors
Strategic Sponsors
Diversity and Inclusion Sponsor
Impact Sponsors
Premier Exhibitor Plus
R & D and Innovation Track Sponsor
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