IoTanic's CNN model implementation using FastAPI

Predicting type of Skin Disease using CNN's . Deployed using Flask

Explore this repository for a CNN-based handwritten digit classification project. Utilizes TensorFlow to train and evaluate models, providing a practical example of deep learning in image recognition.

Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning Projects

Detecting eye diseases using AlexNet architecture

Deep Learning Courses

Repository consisting important concepts of DL with Jupyter Notebook

A calculator that uses handwritten Kannada digits and operators to calculate the result, using contour detection and CNN model predictions. Made using PyTorch, OpenCV, PIL and CustomTkinter.

This project involves the development of a handwritten digit recognition system using Convolutional Neural Networks (CNN) implemented with Keras. The goal is to accurately classify images of handwritten digits (0-9) from the MNIST dataset. The model is trained to recognize patterns and features in the digits, achieving high accuracy in prediction.

Deep Learning Courses

HandSignActionDetection is a project aimed at recognizing and detecting various hand sign actions. The system utilizes a pre-trained model and OpenCV to accurately identify hand gestures in real-time.

This project demonstrates image classification using a Convolutional Neural Network (CNN) on the CIFAR-10 dataset. The model is trained to classify images into one of 10 classes.

Hand Gesture Recognition Using CNN employs Convolutional Neural Networks to classify hand gestures from near-infrared images. The project involves dataset preprocessing, CNN model training, and evaluation for accurate gesture recognition.

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

Deep learning project detecting lung diseases from X-rays, examining hyperparameter effects and transfer learning.

Emoji Predictor using LSTM neural networks to predict the most suitable emoji based on text input. The project involves text preprocessing, model training, and performance evaluation to enhance text-based communication.

This repository consists of classification of snakes species. It shows the whole progress and model used to achieve final accuracy. The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet. The final accuracy was achieved using transfer learning with model MobileNetV2

This Repository hosts all my CNN related projects.

CNN projects beginner to master

This repository contains a Python-based image recognition project using TensorFlow and Keras. It leverages a pre-trained Convolutional Neural Network (CNN) model on the CIFAR-10 dataset to classify objects in images. The project supports image recognition from both local files and URLs.