Deep Learning: Current Trends and Techniques

Deep learning is a subfield of artificial intelligence that is applied to solve the challenging and exciting problems in the various domains, for example, computer vision, 3-D object recognition, and natural language processing, etc. Diverse vendors (e.g., Google, Facebook, and Intel, etc.) have developed many frameworks to help the programmer to model the solution of the complex problem. Each of the deep learning neural networks includes distinguished feature. Broadly, the architectures of the deep learning are categorized into fully connected network, convolutional network and recurrent neural network. This chapter focuses on the architecture; frameworks of the most popular frameworks of deep learning with the objective to support end users make an informed choice about the best deep learning framework that suits their requirements and resources.

Перевод пока недоступен