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API


TF Dev Summit ’19 | Introducing TensorFlow 2.0 and its high-level APIs At TensorFlow Dev Summit 2019, the TensorFlow team introduced the Alpha version of TensorFlow 2.0! With TensorFlow 2.0, we are consolidating our APIs and integrating Keras across the TensorFlow ecosystem. In this talk, we give an overview of what to expect with TensorFlow …

Google I/O 2019 | Getting Started with TensorFlow 2.0 TensorFlow 2.0 is here! Understand new user-friendly APIs for beginners and experts through code examples to help you create different flavors of neural networks (Dense, Convolutional, and Recurrent) and understand when to use the Keras Sequential, Functional, and Subclassing APIs for your projects.   Speakers: Josh …

Google I/O 2019 | Machine Learning for Game Developers Machine learning is enabling game developers to solve challenges that have been difficult with traditional programming techniques. If you’re new to machine learning and looking to consume APIs backed by Google-built ML models or wanting to train your own game AI with a custom model, in …

Google I/O 2019 | ML Kit: Machine Learning for Mobile with Firebase ML Kit allows you to harness the power of machine learning in your iOS and Android apps without needing to be an expert in it. Leverage powerful, but simple-to-use on-device and cloud-based APIs for Vision and Natural Language Processing, or train and/or deploy …

Prerequisites Operating System: Ubuntu 16 or Ubuntu 18 Python 3.X is installed Python Pip is installed Python Virtual Environment is installed (Optional)   Structure Overview Replace the dotlah_flask_api directory with the project name of your choice. Steps 01. Create the necessary directories and files. You can use the following shell script to create it, or …