MLP( Multi Layer Perceptron )

Multilayer Perceptron

Multilayer Perceptron is collection of Perceptron

ANN(MULTILAYER PERCEPTRON)

Backpropagation

Backpropagation is a process to find weights and baises

Step 1 : Initialize all weight and biases

Step 2:Choose a Loss function

Step 3: Apply Gradient Descent Technique to find correct weights and biases

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CNN(Convolution Neural Network)

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

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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