Google releases final public version of must awaited TensorFlow 2.0 machine learning library
Google announces the release of final public version of TensorFlow 2.0 library and now this library is production ready. TensorFlow 2.0 comes with tight integration of Keras machine learning library. With the release of TensorFlow 2.0, Keras machine library is tightly integrated with this version of TensorFlow. Developers can use the Keras library for developing deep learning models.
Earlier Google released the alpha and beta versions of TensorFlow 2.0 and now final version is available for production use. Developers can use this library for modern high performance Deep Learning models to solve various business problems.
Initially Google releases TensorFlow 1.0 back in February 2017. Since then TensorFlow library is growing very fast and developer around the world is using it for Deep Learning applications.
TensorFlow 2.0 is developed keeping performance and ease of use in mind. TensorFlow 2.0 is machine learning library which provider better performance on GPU and delivers fast model training. TensorFlow 2.0 can be used to train models on CPU, GPU and TPU. It provides better performance when inferencing on NVIDIA T4 Cloud GPUs on Google Cloud.
TensorFlow 2.0 is promising over 3 times faster training performance with Nvidia’s Volta and Turing GPUs, and eager execution. So, TensorFlow 2.0 is poised to give high performance while training Deep Learning and various machine learning models.
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