lav deshpande

Model Accuracy Vs Number of Parameters in Neural Network- Is it a must to increase the number of parameters to train a good model?

Neural Network is a network consisting of a series on neurons arranged in a particular way to mimic the way neurons are functioned in a human body. They begin with a very small block, known as a neuron which actually is nothing but a small block to which some mathematical transformations are applied, and this …

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Question Answer Chatbot using the Facebook’s BABI Research Dataset

Natural Language Processing is one of the most dynamic applications of deep learning in today’s world. And when it comes to translating a human encoded language into a computer understandable one, there are some barriers which we need to overcome. Context and semantics being the major ones of them. Semantics is understanding the meaning and …

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Sarcasm Detection On News Headlines Using CNN

Convolutional neural networks are a subtype of Deep Neural Networks and are primarily used in Computer Vision and Image Processing. Comprising of one or more convolutional layers, this is being advancely used in different applications like Radiology, Image Classification, Face Recognition, Art Design, Health Risk Assessment, Anomaly Detection and many more.   A CNN has one or more convolutional layers, either one dimensional of multi dimensional. The working architecture comprises …

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