3D Neural Network Visualization with TensorSpace [Video]
TensorSpace is a neural network 3D visualization framework built by TensorFlow.js, Three.js, and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser.
By applying TensorSpace API, it is more intuitive for Data Scientists to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, and so on.
In this quick and short course, you’ll learn how to present the inner workings of your pre-trained Neural Network models with easy-to-access 3D visualizations in a web browser.
By the end of this course, you’ll be able to create compelling 3D visualizations that will show the neural network architecture and how pre-trained models work in real time with TensorSpace
The code bundle for this video course is available at - https://github.com/PacktPublishing/3D-Neural-Network-Visualization-with-TensorSpaceStyle and Approach
In this course we seamlessly mix the theory with practice, to make your learning experience effective and enjoyable.
|Course Length||55 minutes|
|Date Of Publication||30 Mar 2019|