Naive Bayes belongs to the family of probabilistic algorithms that take advantage of Probability Theory and Bayes Theorem to predict the class. Let's learn how it works!!
Read moreGetting started with deep learning frameworks often involves a steep learning curve. This article is aimed at providing a gentle introduction to building DNN models with Keras which can be scaled and customized as per dataset. The focus will be on understanding the syntax and good practices involved in building a complex DNN model rather than achieving accuracy.
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