TensorFlow - Advanced Computer Vision with TensorFlow

Overview

On this accelerated Advanced Computer Vision with TensorFlow course, you will learn how to implement multiple state-of-the-art deep learning papers from scratch using the TensorFlow-Keras API, as well as how to construct efficient CNN architectures with CNN Squeeze layers and delayed downsampling

In just 2 days, you’ll learn about residual learning with skip connections and deep residual blocks, and see how to implement a deep residual neural network for image recognition. You’ll also build knowledge on:

• How to build advanced image processing application using free tools and libraries
• Performing advanced image processing with Python’s APIs
• Optimising various features of TensorFlow by building deep learning state-of-the-art models

At the end of this course, you’ll sit the Advanced Computer Vision with TensorFlow Exam, and achieve your certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal if you are an early or mid-career software and machine learning engineer with a foundational understanding of TensorFlow who is looking to expand their knowledge and skillset by learning advanced TensorFlow features to build powerful models.