WashOS - a web based system that can detect how long you have been washing your hands for, and “splat”, a fruit ninja styled game powered by TensorFlow.js that enables you to use your hands and arms to chop fruit from anywhere you wish!
Our 3rd episode of Made With TensorFlow.js heads to Amsterdam to join Charlie Gerard, a Senior Front End Developer at Netlify to talk about her latest creations. Join us as Charlie walks us through WashOS - a web based system that can detect how long you have been washing your hands for, and “splat”, a fruit ninja styled game powered by TensorFlow.js that enables you to use your hands and arms to chop fruit from anywhere you wish! Hosted by Jason Mayes, Developer Advocate for TensorFlow.js.
In this TensorFlow Tutorial will help you in understanding various important basics of TensorFlow with practical examples.
Project walk-through on Convolution neural networks using transfer learning. From 2 years of my master’s degree, I found that the best way to learn concepts is by doing the projects.
TensorFlow is one of the most commonly used frameworks for deep learning. You will learn what TensorFlow is, and the different applications of TensorFlow. You will understand about tensors and how a computational graph works. You will get an idea about TensorFlow's architecture and perform a hands-on demo on LSTMs using the air quality dataset.
We will go through some of the popular deep learning frameworks like Tensorflow, MxNet, DL4j, PyTorch and CNTK so you can choose which one is best for your project. Deep Learning is a branch of Machine Learning. Though machine learning has various algorithms, the most powerful are neural networks. To build these neural networks, we use different frameworks like Tensorflow, CNTK, and MxNet.
This full course video on Deep Learning covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow on Ubuntu. You will get an idea about what is TensorFlow and implement an algorithm using TensorFlow in Python.