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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How to train a neural network for Binary classification?

How to train a neural network for Binary classification ? 1. Install anaconda 2. Open jupyter notebook 3. Create file called app.py 4. Click Here to See Code

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

What is Deep Learning?

Machine Learning Machine Learning is the subset of A.I it cannot extracts too hard features but its does not requires too much data Deep Learning Deep Learning is the subset of machine learning it can extracts difficult features but its requires too much data Which one I have to use? It is totally depends on data if you have too much data you can use deep learning else you can use machine learning

Deep Learning

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