Inhalt: Discover how to leverage TensorFlow-an open-source software library for numerical computation-to build high-performing machine learning applications. In this course, instructor Matt Scarpino helps to acquaint you with this exciting tool. Here, he explores the process of developing TensorFlow applications and running them on the Google Cloud Machine Learning (ML) Engine. Matt kicks off the course by discussing TensorFlow development in detail, starting with basic tensor operations and proceeding to graphs, sessions, variables, and training. He also goes over high-level features like datasets, iterators, and estimators. Next, Matt introduces the Google Cloud Platform (GCP) and its capabilities. He shows how to create a GCP project and access it through the Cloud SDK utility. In addition, he covers Google Cloud Storage, which enables developers to upload data that can be accessed in GCP applications. To wrap up, he steps through how to deploy your TensorFlow applications to the ML Engine. Umfang: 03:05:37.00
Inhalt: Accelerate web applications with native code using WebAssembly. WebAssembly is a new, revolutionary technology that allows developers to program webpages using popular high-level languages like C, C++, Rust, and Python. Code is then compiled to WebAssembly bytecode and implemented by the JavaScript engine built into all web browsers. You gain flexibility and functionality without sacrificing performance. This course focuses on the practical uses of the technology: converting C and C++ code to WebAssembly and executing WebAssembly in JavaScript. Programmer and engineer Matt Scarpino demonstrates the power of the WebAssembly, implementing quick sort and matrix multiplication algorithms. He also reviews advanced features, such as debugging and the WebAssembly text format. By the end of the course, you'll understand the massive potential WebAssembly represents and be ready to implement it in your next web project. Umfang: 01:45:53.00
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