Beginner Friendly CheatCodes
-
Updated
May 23, 2024 - Jupyter Notebook
Beginner Friendly CheatCodes
A novel, deep-learning software solution for the automatic roofing material classification of the Dutch building stock using state-of-the art deep learning and data fusion techniques.
Several Models involving CNN for 0-9 Digit Classification using MNIST Dataset
Python3 + Keras + Tensorflow2.16.1+ ReactJS +Docker
Pytorch to Tensorflow
Constructed an advanced deep learning model utilizing TensorFlow and CNN to precisely classify bird species from audio inputs. Leveraging Librosa for audio processing, the model is trained on extensive bird sound datasets to ensure robust performance. Integrated with Hugging Face, our application facilitates seamless uploading of bird sound samples
Classifying a emotions from an image is accomplished through Deep Learning models, with implementation conducted in TensorFlow.
Deep Learning Projects
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
Image classification using CN and access to the image class via a web server.
Quantum-Hybrid Convolutional Neural Network with data re-uploading
This project uses TensorFlow to implement a Convolutional Neural Network (CNN) for image classification. The goal is to classify skin lesion images into different categories. The dataset used is HAM10000, which contains skin lesion images with associated metadata. The actual accuracy of the model is 90%. 🚀🚀
This dataset contains 120 jpg images of disease infected rice leaves. The images are grouped into 3 classes based on the type of disease. There are 40 images in each class.
Multilayer Authenticity Identifier (MAI), a CNN model that attempts to identify synthetic AI images.
Pneumonia classification from chest X-ray images with Convolutional Neural Networks and Inception-V3.
This project aims to detect pneumonia from chest X-ray images using a Convolutional Neural Network (CNN). The model is trained on a dataset of chest X-ray images and evaluated for its performance. The project is ongoing, and I aim to fine-tune the model in the future. If you are seeing this, it means I am still working on the project.
repo contains sample code snippets on #ML, #DeepLearning, #GenAI topics
⚡ This project utilizes Convolutional Neural Networks (CNNs) to develop a robust image classification model capable of accurately identifying hand gestures representing rock, paper, and scissors.
Blindness Detection
Add a description, image, and links to the cnn-classification topic page so that developers can more easily learn about it.
To associate your repository with the cnn-classification topic, visit your repo's landing page and select "manage topics."