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TensorFlow helps to improve the text-based recognition technology, and the best example is Google that supports various languages and the capability to transfer the text from one language to another.Voice and sound recognition process can be done through the TensorFlow, and it is also used for sentiment analysis or flaw detection.This technology is used for automatic image recognition systems because it consists of algorithms to identify shapes for modeling purposes.Most importantly, it supports production prediction at scale with exact models that are used for the training.įigure 1 TensorFlow logo Five main use cases of TensorFlow TensorFlow can run and train deep neural networks for image recognition, for handwritten digit classification, recurrent neural networks, word embeddings, and sequence-to-sequence models for natural language processing, PDE (partial differential equation) and machine translation.
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In simple words, TensorFlow is an open-source library for numerical computation, which is used to enhance the convenience and ease in machine learning, and it is an entirely Python friendly library.
PYTHON JUPYTER NOTEBOOK .YML INSTALL
Step 1: Install Anaconda in the device:.