Generative Adversarial Networks (GANs) have revolutionized image synthesis. In this post, we walk through the implementation of a Deep Convolutional GAN (DCGAN) using Keras and TensorFlow, trained to generate 64×64 anime-style faces. Dataset Preparation The dataset consists of preprocessed anime...
Case StudyDeveloped a Convolutional Neural Network (CNN) model to classify plant diseases in corn, potato, and tomato using deep learning. The model was trained with structured preprocessing, achieving high accuracy in detecting Common Rust, Early Blight, and Bacterial Spot.