What is TensorFlow?

TensorFlow is an open-source machine learning framework developed by Google with the primary goal of making it easier for researchers and developers to design, build, and deploy machine learning models.TensorFlow can be run in a variety of environments including desktops, servers, and mobile devices, etc., and supports a wide range of programming languages, including Python, C++, Java and more.

 

Why use TensorFlow?

At the heart of TensorFlow is a data flow graph, which is a graphical model for representing computations where nodes represent operations and edges represent data flows. A data flow graph can break down a complex computational process into multiple simple operations, making it easier to implement and optimise.TensorFlow also supports distributed computing, allowing training and inference to be performed on multiple computers, thus speeding up model training and inference.

TensorFlow supports a wide range of machine learning algorithms and models, including deep neural networks, convolutional neural networks, recurrent neural networks, and reinforcement learning. These algorithms and models can be used in a variety of application scenarios, such as image recognition, speech recognition, natural language processing, recommender systems, medical diagnostics, and so on.

TensorFlow also provides a wealth of tools and libraries that can help users build and deploy machine learning models more easily. These include TensorBoard visualisation tools, tf.data data preprocessing library, tf.keras high-level API, etc. TensorFlow also supports a variety of hardware acceleration techniques, including GPU acceleration, TPU acceleration, etc., which can further improve the speed and efficiency of model training and inference.

 

How to access TensorFlow?

Just click the Open URL button above.