How to Improve CNNs with Data Augmentation Techniques

How to Improve CNNs with Data Augmentation Techniques Convolutional Neural Networks (CNNs) are widely used in the field of computer vision for tasks such as object detection, image classification, and segmentation. These networks are responsible for learning features from images that help in identifying objects or patterns. However, CNNs require a large amount of data to learn

Data Augmentation Techniques in Deep Learning with Keras

Data Augmentation Techniques in Deep Learning with Keras Data augmentation is a widely used technique in deep learning to increase the size of the training set. By generating additional training samples, it helps in improving the accuracy of the model. Keras, a popular deep learning framework, provides several techniques for data augmentation. In this article, we will explore s