Knowledge Must Always Be Improved and Challenged

Sabri Institute of Technology belonging to Gujarat Technical University. My passion for the research field and constant encouragement of the professor helped me lay the foundation of all the concepts of engineering and to provide the foundation of a baccalaureate in engineering (electronics and communication). I like long-term experiments when pursuing B.E in the field of electronics and communication. It helps link theory to practice. My BE syllabus includes practical and theoretical courses of electronics and communication.

My goal is to constantly challenge and challenge ideas by key users of technology and producers of design solutions. And by constantly changing the course, students can acquire their knowledge and practical skills. Understand the creation of design solutions, process assessment, and people's roles and responsibilities in design and technical careers

It is wonderful to see all these advances, but we must always strive hard to make improvements. The deep learning model in image classification still has many challenges. If we want to make progress, these challenges are important to solving. Here I will introduce some of the problems that I think is important and that researchers are actively trying to solve. Most deep learning methods currently applied to computer vision tasks are monitored. This means that we need lots of tagged training data. These data are cumbersome and expensive. please think about it. ImageNet challenges There are 3 million training examples and there are 1000 different categories. Humans need to acquire all the data, browse each image and tag it, but this is a lot of manual work.

To evaluate productivity, you first need to define the tasks that the knowledge worker performs. Do not forget that you are not programming knowledge workers. In other words, if you say that you must do something on a production line to a physical worker, knowledge workers as well. For physical workers, it is always obvious. For knowledge workers this is not the case. Please consider this example. When a patient in a hospital falls into a coma, the nurse must do the work. But she chooses when and how to perform these tasks. Sales representatives spend time spontaneously ordering, filling in documents and adjusting delivery. They are all voluntary