Sharing what I learn while working on new ideas.
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 faces resized to 64×64...
Brain tumors are abnormal growths of cells in the brain that can be life-threatening. Early and accurate detection is crucial for effective treatment. Deep learning, specifically convolutional neural networks (CNNs), has revolutionized medical imaging by providing automated and accurate diagnoses. This project focuses on...
OpenCV (Open Source Computer Vision Library) is an open-source, cross-platform library designed for real-time computer vision and image processing tasks. Initially released in 2000 and developed by Intel, it provides tools for analyzing and manipulating images and videos. OpenCV is widely used in applications...
With the advancement of technology, agriculture has seen significant improvements, especially with the integration of machine learning techniques. One of the pressing challenges faced by farmers is the early detection of plant diseases. This project focuses on building a Convolutional Neural Network (CNN) to...
Learn the fundamentals of ML with this easy-to-follow PDF. Perfect for beginners and curious minds.