TensorFlow.js in 3 Hours
TensorFlow.js in 3 Hours
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 50M | 557 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 50M | 557 MB
Genre: eLearning | Language: English
In this course, you’ll learn how to use Tensorflow.js for a variety of the most popular Deep Learning tasks and use it in your own web browser.
You’ll start by learning how to classify images using commonly used Convolutional Neural Networks. And you’ll get up and running fast using a pre-trained model. Then you’ll explore yet another popular deep learning architecture called Long short-term memory Recurrent Neural Network. This time you’ll classify text typed by a user in real time.
Moving on, you’ll work with audio data using a specific type of CNN. Then we’ll jump into methods to improve the results of our models by firstly looking at transfer learning. Here you’ll improve the performance of your model quickly by using a pre-trained model as a base and performing short, focused training.
By the end of this course, you’ll have the skills to use Tensorflow.js and train your own personal models using only a web browser.
Github Link : https://github.com/PacktPublishing/TensorFlow.js-in-3-Hours
TensorFlow.js in 3 Hours
