Based on this YouTube video's total view count of 213K views and industry-standard rates, the estimated total earning is $149 - $427 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Learn TensorFlow.js - Deep Learning and Neural Networks with JavaScript with 213,463 views, 4,056 likes, and 103 comments. Experience the impact of this video content that has captured audience attention.

This full course introduces the concept of client-side artificial neural networks. We will learn how to deploy and run models along with full deep learning applications in the browser! To implement this cool capability, we’ll be using TensorFlow.js (TFJS), TensorFlow’s JavaScript library. By the end of this video tutorial, you will have built and deployed a web application that runs a neural network in the browser to classify images! To get there, we'll learn about client-server deep learning architectures, converting Keras models to TFJS models, serving models with Node.js, tensor operations, and more! This course was created by deeplizard. Check out their YouTube channel and website for more tutorials! 🦎 http://youtube.com/deeplizard http://deeplizard.com ⭐️Course Sections⭐️ ⌨️ 0:00 - Intro to deep learning with client-side neural networks ⌨️ 6:06 - Convert Keras model to Layers API format ⌨️ 11:16 - Serve deep learning models with Node.js and Express ⌨️ 19:22 - Building UI for neural network web app ⌨️ 27:08 - Loading model into a neural network web app ⌨️ 36:55 - Explore tensor operations with VGG16 preprocessing ⌨️ 45:16 - Examining tensors with the debugger ⌨️ 1:00:37 - Broadcasting with tensors ⌨️ 1:11:30 - Running MobileNet in the browser Keras model H5 files: VGG16 - https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg16_weights_tf_dim_ordering_tf_kernels.h5 MobileNet - https://github.com/fchollet/deep-learning-models/releases/download/v0.6/mobilenet_1_0_224_tf.h5 Code: https://www.patreon.com/posts/19580029 Broadcasting notebook: https://www.patreon.com/posts/20051386 Download access to code files and notebooks are available as a perk for the deeplizard hivemind. Check out the details regarding deeplizard perks and rewards at: http://deeplizard.com/hivemind ❤️ Try interactive JavaScript courses we love, right in your browser: https://scrimba.com/freeCodeCamp-JavaScript (Made possible by a grant from our friends at Scrimba) Music: Jarvic 8 by Kevin MacLeod Investigations by Kevin MacLeod Crypto by Kevin MacLeod Too Cool by Kevin MacLeod Brittle Rille by Kevin MacLeod Chillin Hard by Kevin MacLeod Dreamy Flashback by Kevin MacLeod Thinking Music by Kevin MacLeod YouTube: https://www.youtube.com/channel/UCSZXFhRIx6b0dFX3xS8L1yQ Website: http://incompetech.com/ Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/ -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.