What's Novel Inwards Tensorflow Two 0
Type : epub |
Size : 2.4 MB
English |
Descirption: Get to grips alongside commutation structural changes inwards TensorFlow 2.0
Key Features
Explore TF Keras APIs together with strategies to run GPUs, TPUs, together with compatible APIs across the TensorFlow ecosystemLearn together with implement best practices for edifice information ingestion pipelines using TF 2.0 APIsMigrate your existing code from TensorFlow 1.x to TensorFlow 2.0 seamlessly
Book
TensorFlow is an end-to-end auto learning platform for experts too equally beginners, together with its novel version, TensorFlow 2.0 (TF 2.0), improves its simplicity together with repose of use. This mass volition assistance yous empathise together with utilize the latest TensorFlow features.
What's New inwards TensorFlow 2.0 starts past times focusing on advanced concepts such equally the novel TensorFlow Keras APIs, eager execution, together with efficient distribution strategies that assistance yous to run your auto learning models on multiple GPUs together with TPUs. The mass together with then takes yous through the procedure of edifice information ingestion together with grooming pipelines, together with it provides recommendations together with best practices for feeding information to models created using the novel tf.keras API. You'll explore the procedure of edifice an inference pipeline using TF Serving together with other multi-platform deployments earlier moving on to explore the newly released AIY, which is essentially do-it-yourself AI. This mass delves into the meat APIs to assistance yous construct unified convolutional together with recurrent layers together with role TensorBoard to visualize deep learning models using what-if analysis.
By the goal of the book, you'll cause got learned nearly compatibility betwixt TF 2.0 together with TF 1.x together with last able to migrate to TF 2.0 smoothly.
What yous volition learn
Implement tf.keras APIs inwards TF 2.0 to build, train, together with deploy production-grade modelsBuild models alongside Keras integration together with eager executionExplore distribution strategies to run models on GPUs together with TPUsPerform what-if analysis alongside TensorBoard across a diversity of modelsDiscover Vision Kit, Voice Kit, together with the Edge TPU for model deploymentsBuild complex input information pipelines for ingesting large grooming datasets
Who this mass is for
If you're a information scientist, auto learning practitioner, deep learning researcher, or AI enthusiast who wants to migrate code to TensorFlow 2.0 together with explore the latest features of TensorFlow 2.0, this mass is for you. Prior sense alongside TensorFlow together with Python programming is necessary to empathise the concepts covered inwards the book.
Downloading the event code for this ebook: You tin download the event code files for this ebook on GitHub at the next link: https://github.com/PacktPublishing/What-s-New-in-TensorFlow-2.0. If yous demand back upwardly delight email:
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