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A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras
Understand the evolution of machine learning, deep learning, and now artificial intelligence (AI). In this course, you'll follow a series of practical examples of training machine learning models to come up with accurate predictions. You'll use TensorFlow to create the models and Keras, a high-level Python API for building and training deep learning models on top of TensorFlow. Examples in this course include: identifying animal breeds in photos, analyzing blocks of text to determine which renowned author wrote it, and stylizing images trained by famous painters!
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Course Detail
Published: March 3, 2020
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.