Expresso - A user-friendly tool for Deep Learning
With a view to provide a user-friendly interface for designing, training and developing deep learning frameworks, we have developed Expresso, a GUI tool written in Python. Expresso is built atop Caffe, the open-source, prize-winning framework popularly used to develop Convolutional Neural Networks. Expresso provides a convenient wizard-like graphical interface which guides the user through various common scenarios – data import, construction and training of deep networks, performing various experiments, analyzing and visualizing the results of these experiments. The multi-threaded nature of Expresso enables concurrent execution and notification of events related to the aforementioned scenarios. The GUI sub-components and inter-component interfaces in Expresso have been designed with extensibility in mind. We believe Expresso’s flexibility and ease of use will come in handy to researchers, newcomers and seasoned alike, in their explorations related to deep learning.
Talk will focus on giving an insight about challenges faced while designing GUI for Deep-learning. It will also include Live Demo of training and visualization of CNN via Expresso.
Jaley Dholakiya is an alumni of Video Analytics Lab at Indian Institute of Science. He is core-developer of Expresso, a user-friendly GUI build atop Caffe.Currently, he is working on Recommender Systems in Vizury.