Demystifying Convolutional Neural Networks (CNNs): The Ultimate Beginner's Guide
Contents Introduction Convolutional Layer Pooling Layer Fully Conncected (FC) layer Summary Introduction Convolution neural networks are...
I’m an explorer, dreamer, developer, thinker and so much more. Every project I’ve taken on was guided by my curiosity, creativity and diligence. I use this space to showcase my current and past work, to detail upcoming plans and to make my presence felt in the world. I’m constantly changing and evolving, so what you see here today might not be here tomorrow!
The projects showcased below are a window into my world: creative, varied and engaging. They capture my professional development as well as some very special experiences. Please browse my work and get in touch if you want to see more.
It is my first game or work in the field of programming. This 3D car racing game is classic and has a simple User interface.This game is developed in C++ using Rad studio. It's so addictive that if try once, you will never forget this experience and your mind willing to play this every time. Can't believe !!! Then just try this by clicking on Try Now
The FruitDetect is a user-friendly GUI developed in Python. It utilizes advanced image recognition algorithms to classify up to 30 different types of fruits. With just a click, users can upload an image of a fruit, and the application will accurately identify the fruit type based on its visual features. The intuitive interface and seamless user experience make it a convenient tool for fruit enthusiasts, researchers, and anyone curious about the fruits they encounter.
The Fruit Image Dataset is a comprehensive collection of fruit images meticulously curated for training and evaluation purposes. This dataset consists of 30 distinct types of fruits, with each fruit category comprising 40 high-quality images. The dataset is carefully annotated using segmentation and bounding box techniques, providing precise localization of each fruit instance within the images.
The annotations enable researchers, developers, and machine learning enthusiasts to leverage the dataset for various tasks, including object detection, instance segmentation, and fruit recognition.
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