, tensor Flow is one of the most in-demand tools used by ML/AI Engineers. It is an open-source framework developed by Google, which is used to build various Machine Learning and Deep Learning models., tensor Flow helps us train and execute neural network image recognition, natural language processing, digit classification, and many more.
02/01/2021; 7 minutes to read; m; l; In this article., tensor Flow is an open-source framework for machine learning created by Google. It supports deep-learning and general numerical computations on CPUs, GPUs, and clusters of GPUs.
, tensor Flow is a software tool of Deep Learning. It is an artificial intelligence library that allows developers to create large-scale multi-layered neural networks. It is used in Classification, Recognition, Perception, Discovering, Prediction, and Creation, etc. Some of the primary use cases are Sound Recognition, Image recognition, etc.
What can you do with TensorFlow?
, tensor Flow can train and run deep neural networks for handwritten digit classification, image recognition, word embeddings, recurrent neural networks, sequence-to-sequence models for machine translation, natural language processing, and PDE (partial differential equation) based simulations.
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And released by Google as an open-source machine learning library., the tensor Flow library does numerous computations with the help of data flow graphs. Machine learning is booming technology in the business domain ; several sectors are using them for large-scale enterprises.
What is deep learning in TensorFlow?
Deep Learning is one of several categories of machine learning (ML) models that use multi-layer neural networks. , the tensor Flow library allows users to perform functions by creating a computational graph.
Why is Google TensorFlow so big?
Google does not just have any data; they have the world’s most massive computer, so Tensor Flow was built to scale. , tensor Flow is a library developed by the Google Brain Team to accelerate machine learning and deep neural network research.