Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Machine Learning Projects with TensorFlow 2.0

Build and train models for real-world machine learning projects using Tensorflow 2.0
4.4
4.4/5
(10 reviews)
80 students
Created by

8.2

CourseMarks Score®

7.6

Freshness

8.6

Feedback

7.8

Content

Platform: Udemy
Video: 4h 20m
Language: English
Next start: On Demand

Table of contents

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.
About the Author
Vlad Ionescu is a lecturer at Babes-Bolyai University. He has a PhD in machine learning, a field he is continuously researching and exploring every day with technologies such as Python, Keras, and TensorFlow.
His philosophy is “If I can’t explain something well enough for most people to understand it, I need to go back and understand it better myself before trying again”. This philosophy helps him to give of his best in his lectures and tutorials.
He started as a high school computer science teacher while he was doing his Masters over 5 years ago. Right now, he teaches various university-level courses and tutorials, covering languages, technologies, and concepts such as Python, Keras, machine learning, C#, Java, algorithms, and data structures.
During his high school and college years, he participated in many computer science contests and Olympiads and was active on some online judge sites. He also owns a StackOverflow gold badge in the Algorithm tag.

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

Requirements

• This course will appeal to someone who has a basic understanding of ML concepts, Python and TensorFlow.

This course is 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.

How much does the Machine Learning Projects with TensorFlow 2.0 course cost? Is it worth it?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $94.99. So you save $80 if you enroll the course now.
The average price is $14.5 of 54 TensorFlow courses. So this course is 3% more expensive than the average TensorFlow course on Udemy.

Does the Machine Learning Projects with TensorFlow 2.0 course have a money back guarantee or refund policy?

YES, Machine Learning Projects with TensorFlow 2.0 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Machine Learning Projects with TensorFlow 2.0 course, but there is a $80 discount from the original price ($94.99). So the current price is just $14.99.

Who is the instructor? Is Packt Publishing a SCAM or a TRUSTED instructor?

Packt Publishing has created 1,262 courses that got 66,758 reviews which are generally positive. Packt Publishing has taught 394,771 students and received a 3.9 average review out of 66,758 reviews. Depending on the information available, Packt Publishing is a TRUSTED instructor.
Tech Knowledge in Motion
Browse all courses by on Coursemarks.
Platform: Udemy
Video: 4h 20m
Language: English
Next start: On Demand

Students are also interested in