Nvidia DIGITS - a web app based on Caffe

Provides a browser-based GUI that simplifies deep learning workflows, allowing users to manage datasets, design networks, and monitor training without extensive command-line knowledge, as highlighted in its value proposition.

Compatible with Caffe, TensorFlow, and Torch, offering flexibility for users to choose their preferred deep learning framework, as specified in the key features.

Enables monitoring of metrics, loss curves, and accuracy during model training through live visualizations, facilitating quick iteration and debugging, as noted in the best-for scenarios.

Supports fine-tuning pre-trained models on new datasets for efficient transfer learning, with examples provided in the documentation for various tasks.