This repository documents a comparative evaluation of major deep learning toolkits including Caffe, CNTK, TensorFlow, Theano, and Torch. The study assesses each framework across multiple dimensions: modeling capability for convnets and recurrent networks, interfaces and ease of use, model deployment options, computational performance, architecture characteristics, ecosystem maturity, and cross-platform support. It provides subjective ratings for each toolkit to help practitioners choose appropriate tools for deep learning workloads.