CNN(Convolution Neural Network)

CNN is used to classify images

CNN is most effective for 2D data

CNN has three layers-:

1> Convolution layer for extracting feature

2> Max Pooling layer for reducing dimension

3> Flatten for Convert 2D to 1D because we have to pass to ANN prediction

4> Next ANN Network

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Perceptron

Perceptron is a general thing used in deep learning .You know what is neuron in brain Perceptron Layers 1. Input-In Input we provide Input to our model 2. Calculation-we calculate weight and biases for out Perceptron 3.Output-(sigma of wixi)+b Perceptron Architecture

How to train a neural network for training regression model?

How to train a neural network for training regression model? In previous class we discus about to train multiclass classification to convert it to regression model we have to just change last neuron to single perceptron

Deep Learning

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