Why Convolution is Useful in Neural Networks?

Over the last decade, machine learning has made huge strides in terms of increased prediction accuracy and more comprehensive. While consulting for machine learning solution development, our clients often ask questions around the role of convolution in deep learning. In addition to the availability of data, and cheap compute and ... read more


Convolutional Neural Networks (CNN)

Computer vision has seen great success during the last few years, mainly due to advances in deep learning and the availability of training data. Applications like unlock of phone and house doors using face recognition, and classification of pictures in the smartphone's gallery app are all direct consequences of the ... read more


Machine Learning Strategy

In the AI transformation of an organization, the machine learning strategy plays a significant role in the ultimate fate of any machine learning project. Let's say we have trained a classifier with 90% accuracy on test examples. But that accuracy may not be good enough for the application. To improve classifier's ... read more


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