Category Archives: Deep Learning
MultiClass Classification
Image classification is a type of supervised machine learning task where the goal is to sort images in a dataset into their appropriate categories or labels. For instance, classifying different types of dog breeds from images is a common example of image classification. This is referred to as “multi-class classification” since we’re sorting images into…
Digit Recognition: Kaggle Challenge
Digit recognition is a classic problem in the field of computer vision, with a wide range of practical applications such as optical character recognition (OCR), handwriting recognition, and digit-based security systems. The challenge in digit recognition is to train a machine learning model that can accurately classify handwritten digits from a given dataset. Recently, the…
Fully Connected Neural Network
We will explore the fascinating field of deep learning in this blog post. The primary neural network configuration we use today, feed-forward networks, will be the subject of our attention today. We will investigate the key ideas and theories that have shaped the deep learning field. In the upcoming posts, we’ll talk about the initial…