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Mastering Machine Learning and Deep Learning with TensorFlow

3 weeks ago

Dublin, Dublin City, Ireland beBeeTensorFlow Full time
Unlock the Power of TensorFlow 1.x

This comprehensive course covers everything you need to know to master machine learning and deep learning with the latest release of TensorFlow.

Course Overview

In this in-depth guide, we will delve into the main features and capabilities of TensorFlow, including the computation graph, data model, programming model, and TensorBoard. You will learn how to upgrade your code from TensorFlow 0.x to TensorFlow 1.x and explore the different techniques of machine learning, such as clustering, linear regression, and logistic regression, using real-world projects and examples.

You will also gain a solid understanding of neural networks, including convolution, recurrent, and deep neural networks, and learn how to implement them using TensorFlow. Additionally, we will cover advanced concepts such as GPU computing and multimedia programming.

The course is designed to help you tackle common commercial machine learning and deep learning problems that you're facing in your day-to-day activities.

Required Skills and Qualifications
  • Knowledge of Python is required
  • Basic knowledge of Math and Statistics would be beneficial
Benefits

By the end of this course, you will have a solid knowledge of the all-new TensorFlow and be able to implement it efficiently in production. You will be able to:

  1. Upgrade your code from TensorFlow 0.x to TensorFlow 1.x
  2. Implement machine learning and deep learning techniques using real-world projects and examples
  3. Gain a solid understanding of neural networks and their implementation using TensorFlow
  4. Apply advanced concepts such as GPU computing and multimedia programming
About the Authors

We have combined the expertise of several esteemed authors to create this comprehensive course. They bring a wealth of experience in machine learning, deep learning, and related fields, and are passionate about sharing their knowledge with others.

Rodolfo Bonnin is a systems engineer and PhD student at Universidad Tecnológica Nacional, Argentina. He has extensive experience in high-performance computing and neural networks, and is the author of several books on the topic.

Giancarlo Zaccone has more than ten years of experience in managing research projects in scientific and industrial areas. He is a system and software engineer at a consulting company and has authored several books on parallel computing and scientific visualization.

Md. Rezaul Karim has over 8 years of experience in research and development with a strong background in algorithms and data structures. He has worked with several Big Data technologies and is passionate about machine learning and deep learning.

Ahmed Menshawy is a research engineer at Trinity College, Dublin, Ireland. He has more than 5 years of working experience in machine learning and natural language processing (NLP) and holds an MSc in Advanced Computer Science.

This course is ideal for data analysts, data scientists, researchers, and anyone looking to improve their skills in machine learning and deep learning using TensorFlow.