Tensorspace: Neural Network 3D Visualization Framework

Nov 25, 2023 ·

TensorSpace is an open source library which provides a platform to build and deploy deep learning models in web browsers. It allows developers to easily build and visualize neural networks, and provide interactive 3D visualizations of the model’s architecture. The library is composed of several components including TensorFlow and React.js. It supports many popular datasets such as MNIST, CIFAR-10, and ImageNet.

TensorSpace also includes several features for simplifying the development of the neural network. It provides tools for constructing and validating the results of the model, as well as various optimization techniques such as stochastic gradient descent, regularization and dropouts. Additionally, it includes advanced metrics such as precision, recall, accuracy and ROC curve.

Moreover, the library comes with a set of sample codes that help developers understand how to use the library. In addition, it provides a set of tutorials, examples, and API documentation to further assist users. Furthermore, it has a vibrant community for users to ask questions and share their experiences.

Overall, TensorSpace is a great platform for building and deploying deep learning models. It provides easy-to-use tools for constructing and validating models, as well as advanced features for optimizing them. Furthermore, its active community makes it an excellent place for beginners to learn about deep learning.