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Modern Deep Learning Techniques using TensorFlow Training

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In this TensorFlow Deep Learning course, you will gain the skills and knowledge required to leverage TensorFlow to solve real-world Deep Learning problems. You will learn how to:

Understand tensors and their variables
Use TensorFlow’s sequential and functional API
TensorFlow Deep Learning Training Delivery Methods



TensorFlow Deep Learning Training Benefits
Leverage artificial neural networks

Understand the strengths and limitations of TensorFlow

Use TensorFlow 2.x, from fundamentals to building blocksTrain, test, and evaluate a TensorFlow Model

Deploy a trained TensorFlow Model

Continue learning and face new challenges with after-course one-on-one instructor coaching

TensorFlow Deep Learning Training Outline
Module 1: Understanding Artificial Neural Networks and TensorFlow

In this module, you will learn:

The basics of artificial neural networks
The lifecycle of building a TensorFlow model
The basics of Deep Learning
Layered architecture of TensorFlow
Constants, variables and Tensors


Introduction to Tensors and Variables
Module 2: Feature Engineering with TensorFlow
Module 3: TensorFlow Under the Hood
Module 4: Feature Engineering
Module 5: Monitoring and Deployment

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