[ FreeCourseWeb ] Oreilly - Deploying TensorFlow Models to a Web Application - Using Flask API, TensorFlowJS, and TensorFlow Serving

[ FreeCourseWeb.com ] Deploying TensorFlow Models to a Web Application: Using Flask API, TensorFlowJS, and TensorFlow Serving

Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com



MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 11 Lessons (38m) | Size: 331.4 MB
Implement machine learning to realize the power of AI algorithms. Developers and companies often struggle to deploy machine learning models efficiently. One of the main reasons for this is a lack of proper process set up and execution. After getting feedback and comments from his YouTube subscribers, Vikraman has created a system of step-by-step instructions for the process.
Using TensorFlow.js, you'll walk through the process of deploying machine learning models in web applications. You'll learn to deploy these models at scale and to work with users' existing hardware such as web cams to accomplish common machine learning tasks.

What You Will Learn
Deploy machine learning models at scale
Save, export, and restore machine learning models
Use Flask to work with TensorFlow and Keras models

Who This Video Is For
Engineers, coders, and researchers who wish to deploy machine learning models in web applications. A basic understanding of TensorFlow, Python, HTML and general machine learning and deep learning algorithms is helpful.

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)

Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com

Get More Tutorials and Support Us -->> https://DevCourseWeb.com

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...