Neural networks and deep learning technologies underpin most of the advanced intelligent applications today. In this article, Dr. Sun Fei (Danfeng), a high-level algorithms expert from Alibaba's Search Department, will provide a brief overview of the evolution of neural networks and discuss the latest approaches in the field. The article is primarily centered on the following five items:
- The Evolution of Neural Networks
- Sensor Models
- Feed-forward Neural Networks
- Back-propagation
- Deep Learning Basics
In part 1 of this article, we gave a brief overview of neural networks and deep learning. In particular, we talked about sensor models, feed-forward neural networks, and back-propagation. In this section, we take a closer of at deep learning, particularly convolutional neural networks (CNN) and recursive neural networks (RNN).
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