Hello everyone, This is my first blog. I am learning Artificial intelligence these days and as they are in trend so I thought of sharing all my knowledge that I gather from my mentors, friends, internet and books with you all. I have completed some online courses in machine learning and neural networks. I will be sharing all the knowledge from the very basics so that you all do not find any difficulties in understanding. Also I will tell you where I was facing the problems when I was starting with the course so that you all find it easier for yourself to start. My main aim for making this blog is to discuss the problems that we all are facing here so that we can discuss here and get our doubts solved. I will be going step by step in the next session. In the end you will be able to develop your own neural networks and many other projects on machine learning. Also I will update you with the news based on AI and tell you the courses which will be beneficial for you. I will give all the...
Introduction and Motivation : - We are already familiar with the image classification task where an algorithm looks at this picture and might be responsible for saying this is a car shown in fig.1.(a). This is what we mean by classification. In fig.1.(b)., classification with localization means not only do we have to label this as say a car but the algorithm also is responsible for putting a bounding box, or drawing a red rectangle around the position of the car in the image. The term localization refers to figuring out where in the picture is the car, we've detective. The detection problem where now there might be multiple objects in the picture as sown in fig.1.(c)., and we have to detect them all and localized them all. So, the ideas we've learned about for image classification will be useful for classification with localization. And that the ideas we learn for localization will then turn out to be useful for detection. Mandatory face mask rules are becoming more com...