Here you can know everything about TensorFlow like: why TensorFlow is popular, applications of TensorFlow, what are tensors and a brief overview of Tensorflow.
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The pathway to combat business challenges using next-gen technologies is often laden with strategic hurdles.
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ML is considered a subset of artificial intelligence, as it provides the systems needed for an AI to learn, improve upon, and apply what it experiences without explicit programming to tell it to do so.
Although complex in its own right, machine learning frameworks such as Google’s TensorFlow, have simplified the process, refining down results, training models, and analytic predictions.
This has caused a massive ripple across all industries that use information technology, including healthcare, automotive, gaming, and aviation to name a few.
It makes use of observation skills and reasoning skills through the combination of machine learning, deep learning, and efficiency algorithms that speed up the learning and application process.
TensorFlow has an eager execution mode, which is a method that allows programmers to modify and evaluate each individual graph operation rather than requiring them to develop one whole graph as a single object.
The flexible nature of the TensorFlow architecture allows its computation to be deployed across a large variety of platforms.
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Deep learning is a form of machine learning that teaches computers to do what naturally happens to humans.
Deep learning is a modification of neural network methods, which are old technology.
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Internet of Things (IoT) provides gigantic scope of possible applications for:
Manage environmental factors like air, humidity, temperature, and water quality, which directly affect human life
Introduction of IoT is changing the world, making it better for each of us.
With all said above, real-time decision making in IoT systems is yet limited with cost, form factor limitations, data transfer delay, and other criteria.
Google Cloud IoT tries to change the existing situations using machine learning on the end devices and by introducing services like Cloud IoT Core, Cloud IoT Edge, Edge TPU.
Using Cloud Pub/Sub, the Core can merge data from decentralized devices into a single global system.
