[Frontend Masters] A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras

Author: Vadim Karpusenko – Microsoft
Released: November 13, 2019
Duration: 7:46:12
Dimension: 1280x720p

Some Key Takeaways!

By coding along with us in the Workshop, you’ll:

  • You’ll see interesting applications of Deep Learning 🤓
  • Examples will work with different media – images, video, sound, text, game interactions 🖥
  • Focus will be on building the intuition and not math skills 🧐
  • It will be fun and interactive 🎪
  • You will learn a lot! 🎓

Your (Awesome) Instructor

Vadim Karpusenko

Vadim holds a PhD in computational biophysics on the free energy and stability of helical secondary structures of proteins. He is co-author of the book, “Parallel Programming and Optimization with Intel® Xeon Phi™ Coprocessors”, and was lead instructor of a developer training course of the same name. Before joining Microsoft, Vadim was working at Intel Corporation as a Machine Learning/Deep Learning/AI and Modern Code (aka Parallel programming and Optimization) Technical Evangelist. His research interests are in the areas of physical modeling with HPC clusters, highly parallel architectures, code optimization; machine learning and AI.


Workshop Details

This workshop is designed to show practical applications of deep learning and AI on your local machine (python) and in your browser (JavaScript). There will be no complex math explanations! We will build the intuition and learn common good practices used in data science and machine learning. And all of this will be done using TensorFlow2.0 and Keras.


Is This Workshop for Me?


Want to understand practicality of machine learning and AI – this class is for you!

Any Prerequisites?

  • Basic knowledge of Python and JavaScript


Size: 4.08GB





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