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

In-Person

Online

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

Lab:

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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