Machine Learning Projects with TensorFlow 2.0: Supercharge your Machine Learning skills with Tensorflow 2

Dr. Vlad Sebastian Ionescu

R$49.99 ~~R$768.99~~

5 (1 Ratings)

Video Apr 2020 4hrs 20mins 1st Edition

Dr. Vlad Sebastian Ionescu

R$49.99 ~~R$768.99~~

5 (1 Ratings)

Video Apr 2020 4hrs 20mins 1st Edition

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

View table of contents

Download Code

Key benefits

Make use of the amazing new feature of TensorFlow 2 called 'Eager Execution' which makes it easier to learn and use
Upgrade your skills by building real-world Machine Learning projects
Build, test and deploy different ML models and learn more modern techniques such as Reinforcement Learning and Transfer Learning

Description

TensorFlow is the world’s most widely adopted framework for Machine Learning and Deep Learning. TensorFlow 2.0 is a major milestone due to its inclusion of some major changes making TensorFlow easier to learn and use such as “Eager Execution”. It will support more platforms and languages, improved compatibility and remove deprecated APIs. This course will guide you to upgrade your skills in Machine Learning by practically applying them by building real-world Machine Learning projects. Each section should cover a specific project on a Machine Learning task and you will learn how to implement it into your system using TensorFlow 2. You will implement various Machine Learning techniques and algorithms using the TensorFlow 2 library. Each project will put your skills to test, help you understand and overcome the challenges you can face in a real-world scenario and provide some tips and tricks to help you become more efficient. Throughout the course, you will cover the new features of TensorFlow 2 such as Eager Execution. You will cover at least 3-4 projects. You will also cover some tasks such as Reinforcement Learning and Transfer Learning. By the end of the course, you will be confident to build your own Machine Learning Systems with TensorFlow 2 and will be able to add this valuable skill to your CV. Codefiles are uploaded here: https://github.com/PacktPublishing/Machine-Learning-Projects-with-TensorFlow-2.0

Who is this book for?

This course is for developers, data scientists and ML engineers who now want to enhance their skill set in Machine Learning using TensorFlow by building real-world projects. This course will appeal to someone who has a basic understanding of ML concepts, Python and TensorFlow.

What you will learn

Strengthen your foundations to build TensorFlow 2.0 projects by exploring its new features
Analyze the Titanic data set to obtain desired results with ease
Implement and organize your Tensorflow projects in a professional manner
Use Tensorboard to inspect various metrics and monitor your project's performance
Research and make the most of other people s Kaggle solutions
Use OpenAI Gym Environments for implementing state of the art reinforcement learning techniques using TF-Agents
Apply the latest Transfer Learning techniques from Tensorflow

What do you get with a video?