<p>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.</p> <p>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.</p> <p>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.</p> <p>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</p> <p>The code bundle for this video course is available at -&nbsp;<a href="https://github.com/PacktPublishing/3D-Neural-Network-Visualization-with-TensorSpace" target="_blank">https://github.com/PacktPublishing/3D-Neural-Network-Visualization-with-TensorSpace</a></p> <h1>Style and Approach</h1> <p>In this course we seamlessly mix the theory with practice, to make your learning experience effective and enjoyable.</p>