Deep Learning Explained in laymen terms

Deep learning is pattern recognition via so-called neural networks. Neural networks are a set of algorithms, modeled after the human brain. They are sensors: a form of machine perception. Deep learning is a name for a certain type of stacked neural network composed of several node layers. Each layer’s output is simultaneously the subsequent layer’s … More Deep Learning Explained in laymen terms

How to improve performance of Neural Networks

  Neural networks have been the most promising field of research for quite some time. Recently they have picked up more pace. In earlier days of neural networks, it could only implement single hidden layers and still we have seen better results. Deep learning methods are becoming exponentially more important due to their demonstrated success … More How to improve performance of Neural Networks

Feature Learning , Deep Learning and Machine learning

Machine learning is a very successful technology but applying it today often requires spending substantial effort hand-designing features. This is true for applications in vision, audio, and text Any machine learning algorithm performs as good as provided features are. Let’s understand this by using image classification example. When we try to classify an image into … More Feature Learning , Deep Learning and Machine learning