Posted inDeep Learning

Sequence Modeling using RNN

The feed forward neural nets work on the principle of predicting output at a given data point independently i.e. no dependency from past input. As there is no feedback from past, the network is not suitable for sequence modeling. Furthermore, the tasks where large data processing is involved requires Deep Neural Networks (DNN) and hence […]

Posted inDeep Learning

Introduction of Deep Learning

The field of Deep Learning is often confused with in terms of building algorithms and understanding them keeping AI and Machine Learning in mind. This post is an attempt to give a light but conceptual description of Deep Learning (DL) and its application in day-to-day AI problems. I was deeply (just like deep learning) inspired […]

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