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Machine Learning Neural Network Dipesh Singh Yadav 25.10.2016

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Machine LearningNeural Network

Dipesh Singh Yadav 25.10.2016

Understanding data with Machine Learning

2

Can you spot a banana?

How did we recognise banana?

Data : shape, color, texture

• How we recognized the banana?

• Copying from nature to machine

• Neural Network

• Regression model

• Training a machine to recognize banana

• Minimizing error with gradient descent

• Applications

• Difficulties in understanding data

Topics

3

How we recognized the banana?

4

Copying from nature to machines

5

Brain Machine

Neural Network

6

Regression model: All about fitting the data

7

Linear regression Logistic regression

Training a machine to recognize banana

8

Goal: Learn from failure

Update weights

Weights

Find tiny amount to change

Error in output layerGiven by Mean Square Error

Minimizing error with gradient descent

9

Minimizing errors by going downhill

Goal: Finding direction and slowly moving towards it.

Error: Mean Square Error

Trained neural network

10

Image Data

containing

information about

shape, color,

texture.

Feed Forward with trained weights

Applications

11

• Identify trends and demands

• Create right pricing structure

• Identify and classify markets

• Intelligent content and product recommendations

Difficulties in understanding data

12

Thank You

www.frosmo.com

Dipesh YadavDeveloper

[email protected]