Skip to main content

Modern Deep Learning Techniques using TensorFlow Training

Code: 1270 Category: Tag:

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

Request Quotes

Register now

CCNA Training: Implementing and Administering Cisco Solutions v1.0

IBM Cognos Analytics: Author Reports Fundamentals V11.1.x (B6258G)

Introduction to Programming with ABAP (BC100) Training

Designing and Implementing Microsoft DevOps Solutions Training (AZ-400)

Fundamentals of Secure Software Development Training

Administering Microsoft Azure SQL Solutions (DP-300)

Introduction to 802.1X Operations for Cisco Security Professionals (802.1X)

System and Network Security Training

Cyber Security Risk Assessment Training

Microsoft Power BI Data Analyst (PL-300)

arالعربية