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PRASANTH KUMAR CHALUVADI
Product Developer at
TurnkeyLearning
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Recent Posts
Recurrent Neural Networks (RNN)s
Convolution Neural Networks
Back Propagation
Perceptron
Fundamentals differences between Pytorch and Numpy
Recurrent Neural Networks (RNN)s
In Convolutional Neural Network, we have seen that for each input we have associated output. There is no relationship between present...
Admin
Jun 18, 2021
3 min read
Convolution Neural Networks
In general, Neural networks are good in identifying the patterns in the given data but if the patterns situated in different places in...
Admin
Jun 11, 2021
3 min read
Back Propagation
Back Propagation is a techniques used in modeling neural network to update model parameters i.e. model weights and biases to make model...
Admin
May 28, 2021
1 min read
Perceptron
Perceptron:- In general perceptron is the fundamental unit for any neural network model which acts just like a neuron in our brains...
Admin
May 14, 2021
1 min read
Fundamentals differences between Pytorch and Numpy
Here is the a quick recap of fundamental differences between Pytorch and Numpy modules Here is the a quick recap of fundamental...
Admin
Jan 15, 2018
1 min read
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