June 18-21, 2019
Beijing, CN

Deep learning with TensorFlow (Day 2)

此演讲使用中文 (This will be presented in Chinese)

09:0017:00 Wednesday, June 19, 2019
Location: 多功能厅5A+B(Function Room 5A+B)

必要预备知识 (Prerequisite Knowledge)

  • Familiarity with the Python language, matrices, modeling, and statistics

您将学到什么 (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

描述 (Description)


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