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Krishna Kankipati
Sarcasm dataset - Tokenizing, Sequencing and Padding
In the previous articles we have discussed Tokenizing, Sequencing and Padding the sentences…now we will apply those methods on a real...
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Krishna Kankipati
NLP with Tensorflow — Padding sentences
Alright, in the previous post we have learned to tokenize and sequence the tokens from a sentence. We can observe that the length of...
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Krishna Kankipati
NLP with Tensorflow — Tokenizing and Sequencing the sentences
When we are dealing with images, it is easy for us to feed them into a neural network, as the pixel values were already numbers. But what...
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Krishna Kankipati
Artificial Neural Networks(Part-3) - Loss and Cost Functions, and Gradient Descent.
In this part of the ANN, we will try to learn what is a Loss Function and how it is used to calculate a Cost function and finally...
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Krishna Kankipati
Artificial Neural Networks(Part 2)- Structure of a Simple Neural Network and its implementation.
Understanding a Simple Neural Network and its implementation in python.

Krishna Kankipati
Artificial Neural Networks (Part 1)-Role of Activation Functions, Weights and Bias.
Artificial Neural Network(ANN) is a software implementation of neural structure of Human brain!
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