Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19)

Caren , Surrey, UK kayaker.co.uk – shocking! dont ever purchase this hosting – Just host used to be a very good reliable friendly helpful hosting company. in the last 12 months all this has gone down and got worse and worse. The emails keep going down, regularly, you can’t get hold of ‘billing’ unless its in working hours in the USA (we in the UK so very unhelpful) They dont understand english e.g.: me: I have no email and can’t reset my password as the email doesnt work #Justhost: sorry I can’t help you without a valid password me: I can’t reset it as I the emails are down Them: (sends me a link on their website to reset password via email being sent to me) me: this is useless as I dont have email! them: you will have to do this through the cpanel me: I dont have access to the cpanel as I can’t get in without the password them: you can do this with the billing team, but they not available for 4 hours me: wow great solution! No emails, no access to cpanel, no support. Great!

TensorFlow.js is a library for training and deploying machine learning models in the browser and in Node.js, and offers unique opportunities for JavaScript developers. In this talk, you will learn about the TensorFlow.js ecosystem: how to bring an existing machine learning model into your JS app, re-train the model using your data, and go beyond the browser to other JS platforms. Come see live demos of our models and featured applications (Wechat virtual try-on plugin from L’oreal, and a radiology diagnostic tool from Mila).

Presented by: Kangyi Zhang, Brijesh Krishnaswami, Joseph Paul Cohen, & Brendan Duke

View the website → https://goo.gle/36smBfW

#TFWorld All Sessions → https://goo.gle/TFWorld19
Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow


No Comments

Sorry, the comment form is closed at this time.