How TensorFlow Works? | Tensorflow Architecture |
How TensorFlow works internally is the question that many ML and AI developers ask very often. In this video, Detailed TensorFlow Architecture is explained step by step.
The video gives introduction of TensorFlow, talks about different aspects of Implementation of TensorFlow project, Extensions in TensorFlow that makes it more flexible, How TensorFlow optimizes the execution and the future scopes on which TensorFlow team is working on.
TensorFlow is an open-source end-to-end platform for Machine Learning. It provides a comprehensive ecosystem of tools for developers, enterprises, and researchers who want to push the state of the art of Machine Learning and build scalable ML powered applications. Make sure to subscribe to our YouTube channel to stay up to date!
TensorFlow Research: https://www.tensorflow.org/about/bib
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Timestamps
00:00 Introduction
06:02 Implementation
11:11 Extensions For Flexibility
17:37 Optimizations
20:58 Parallelism
22:10 Future Work