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PT27485
Training Summary
In the last few years, AI algorithms for image analysis have made tremendous progress. This is mainly due to the abundance of data, affordable computing, and exceptional libraries. Google has open-sourced a library called TensorFlow which has become the de facto standard, allowing the state of the art machine learning done at scale, complete with GPU based acceleration.
This course introduces Deep Learning concepts and TensorFlow and Keras libraries to students.
Prerequisites
Attendees should possess basic knowledge of Python and Jupyter notebooks.
Duration
3 Days/Lecture & Lab
Audience
The audience for this class includes Developers, Data Analysts, and Data Scientists.
Course Topics
- Introduction to Deep Learning
- Introducing TensorFlow
- Introducing Keras
- Deep Learning Concepts
- Feedforward Network
- Computer Vision
- Generative Adversarial Network (GAN)
- Auto Encoder
- Transfer Learning