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The Ins and Outs of TensorFlow 2.0

Make the most of this latest iteration by partnering with seasoned TensorFlow developers. <br>Source Url:- https://damcotechservices.wordpress.com/2021/02/11/the-ins-and-outs-of-tensorflow-2-0/

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The Ins and Outs of TensorFlow 2.0

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  1. The Ins and Outs of TensorFlow 2.0

  2. In January 2019, Google officially announced that the new iteration of TensorFlow will be available in September 2019. Since the announcement of this news, there were umpteen questions popping on the minds of TensorFlow developers. Some were wondering that the latest iteration TensorFlow 2.0 would have a large jump similar to AngularJS v2 vs AngularJS v1. While others were thinking that the graphs would work properly in TensorFlow 2.0. In this informative piece, we will walk through the changes that are worth noticing in TensorFlow 2.0. Let’s get started.

  3. Noticing in TensorFlow 2.0 • Clean API • Complete Control Over Variables • Graph Mode Functions

  4. Clean API TensorFlow 2.0 has been redesigned and in the new iteration many APIs have shifted to separate repositories or removed including tf.app, tf.gans, tf.flags, tf.contrib, and tf.logging. While some APIs of TensorFlow 1.0 have been replaced with their TensorFlow 2.0 counterparts such as tf.keras.optimizers, tf.keras.metrics, and tf.summary. In TensorFlow 2.0, tf.keras is an advanced API that is strongly recommended.

  5. Complete Control Over Variables In TensorFlow 1.0, data scientists used to keep a tab on the variables for future use. In other words, the older version banks heavily upon implicit global namespaces. So, if you were not present during the initial development stage, you would struggle to recover something that you never knew existed. However, TensorFlow 2.0 has enabled you to overcomeall such hassles.

  6. Graph Mode Functions The tf.function() in TensorFlow 2.0 enables data scientists to execute functions as a single graph. This operation allows TF 2.0 to leverage the benefits of graph mode such as optimized functions for kernel fusion or node pruning, resulting in enhanced portability of functions - import or export.

  7. Wrapping Up This informative piece walks you through the ins and outs of the latest iteration TensorFlow 2.0. It comes with many advanced features with a focus on simplicity, developer productivity, and ease of use. Though in this piece, we discussed only a few of them. Hope you find them useful. If you want to make the most of TensorFlow 2.0, it’s wise to hire TensorFlow developers from a trusted partner.

  8. Source Url:- https://damcotechservices.wordpress.com/2021/02/11/the-ins- and-outs-of-tensorflow-2-0/

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