Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Machine learning from scratch in TensorFlow (Day 2)

Ana Hocevar (The Data Incubator)
Location: Capital Suite 9
Average rating: *****
(5.00, 3 ratings)

Who is this presentation for?

  • You want to learn about deep learning and neural networks in TensorFlow.

Level

Intermediate

Prerequisite knowledge

  • A working knowledge of Python
  • Familiarity with matrices, modeling, and statistics
  • No experience with TensorFlow required

What you'll learn

  • Understand what machine learning, neural networks, deep learning, and artificial intelligence are
  • Discover what TensorFlow is and what applications it's good for
  • Learn how to create deep learning models for classification and regression using TensorFlow
  • Evaluate the benefits and disadvantages of using TensorFlow over other machine learning software

Description

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
Photo of Ana Hocevar

Ana Hocevar

The Data Incubator

Ana Hocevar is a data scientist in residence at the Data Incubator, where she combines her love for coding and teaching. Ana has more than a decade of experience in physics and neuroscience research and over five years of teaching experience. Previously, she was a postdoctoral fellow at the Rockefeller University, where she worked on developing and implementing an underwater touch screen for dolphins. She holds a PhD in physics.