Need of aspect Ratio In some cases resizing the image while ignoring aspect ratio will give you good performance but in some challenging datasets you need to resize the image keeping consideration of aspect Ratio. What is aspect ratio? Aspect ration of image is the proportional relationship of the width…

Before understanding of handwritten digit classification, first see the application of this problem. Application of Handwritten Digit classification Recognize number plates of vehicles. Process numeric entries in the forms filled up by hand. Process bank cheque number, amounts, date. Recognize digits from paper or image. In Handwritten digit classification problem…

Confusion Matrix: is a table that is used describe the performance of classification model. For example our classification model made 100 prediction on whether person has a disease or not. Out of 100 prediction, model predicted 70 times yes and 30 times no. In Actual result, 55 have a disease…

All input Neuron are just pixel intensities of an input image and many hidden Neuron in the first hidden layer. If Neuron is connected to only a small region of the input layer neurons then that region in the input image is called the Local receptive field for the hidden neuron. Each connection with local receptive field has weight, which will learn during training our model. Each hidden Neuron will learn particular local receptive field.

Linear Normalization is the process that changes the range of pixel values. The purpose of Normalization is to bring image to range that is normal to sense. It used where data is linear. Non-Linear Normalization used when is no linear relationship between old image and New_image. …

This will help us how business and the funding environment evolves. Understand this concept with story. I have a very fascinate idea- to use computer vision(AI) in real life. I am very confident that the business will be successful and very enthusiastic to launch the idea into a business. But…

Login with your gmail account: After login search “google colaboratory”. Click on first link. 2. Click on “New python 3 Notebook”. It will new jupyter notebook with cpu in backend, you can change runtime type by clicking on ‘runtime’ option.

Biological neuron: inputs to this neuron is dendrite and synapse are weights and soma is processing units where all decision are made. Artificial Neuron: take some inputs and multiply it with some weights and aggregate these inputs and apply function over aggreage result to get output.

There are six steps in which any machine learning/Artificial Intelligence problems can be solved. DATA In this you will deal with data that is suitable to ML . When you open an website like facebook, amazon,youtube, twitter etc , the information that you see on website is data. If you…