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...
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...
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...
Perceptron
Perceptron:- In general perceptron is the fundamental unit for any neural network model which acts just like a neuron in our brains...
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...
