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

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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

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

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

Deep Learning

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