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DevelopmentData ScienceTensorFlow

Machine Learning Projects with TensorFlow 2.0

Build and train models for real-world machine learning projects using Tensorflow 2.0
Rating: 4.4 out of 54.4 (10 ratings)
84 students
Created by Packt Publishing
Last updated 5/2020
English
English

What you'll 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.

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.

Who 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.

Instructor

Packt Publishing
Tech Knowledge in Motion
Packt Publishing
  • 3.9 Instructor Rating
  • 67,623 Reviews
  • 398,372 Students
  • 1,262 Courses

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.



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