21 hours (usually 3 days including breaks)
TensorFlow is a 2nd Generation API of Google's open source software library for Deep Learning. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system.
This course is intended for engineers seeking to use TensorFlow for their Deep Learning projects
After completing this course, delegates will:
Machine Learning and Recursive Neural Networks (RNN) basics
TensorFlow Mechanics 101
¹ The Advanced Usage topic, “Using GPUs”, is not available as a part of a remote course. This module can be delivered during classroom-based courses, but only by prior agreement, and only if both the trainer and all participants have laptops with supported NVIDIA GPUs, with 64-bit Linux installed (not provided by NobleProg). NobleProg cannot guarantee the availability of trainers with the required hardware.
A lot of practical tips
Pawel Dawidowski - ABB Sp. z o.o.
A lot of information related to the implementation of solutions
Michał Smolana - ABB Sp. z o.o.
A multitude of practical tips and knowledge of the lecturer from a wide range of AI / IT / SQL / IoT issues.
ABB Sp. z o.o.
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