English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 3h 05m | 2.57 GB
Recipes for Computer vision, Natural Language Processing, Reinforcement Learning, Finance, and more.
This course is all about some of the most exciting applications of Deep Learning and how to implement them in TensorFlow. You will learn how to build models to solve problems in different domains such as Computer vision, Natural Language Processing, Reinforcement Learning, Finance, and more.
Taking a Cookbook approach, this course presents you with easy-to-follow recipes to show the use of advanced Deep Learning techniques and their implementation in TensorFlow. After taking this tutorial you will be able to start building advanced Deep Learning models with TensorFlow for applications with a wide range of fields.
The course takes a Cookbook approach and will show you how to build models to solve problems in different domains such as computer vision, natural language processing, Reinforcement Learning, Finance, and more.
What You Will Learn
- Understand how to implement Convolutional Neural Networks and use them for Computer Vision
- Learn how to build Recurrent Neural Network models and use them for Natural Language Processing tasks
- Apply foundational models in Reinforcement Learning
- Use Deep Learning models implemented in TensorFlow to solve problems in many domains
- Start building your own Deep Learning applications
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