{"id":24938565,"url":"https://github.com/sam783/lenet-mnist","last_synced_at":"2026-05-18T15:09:08.063Z","repository":{"id":275320217,"uuid":"925726713","full_name":"Sam783/LeNet-MNIST","owner":"Sam783","description":"Implementation of LeNet-5 CNN for MNIST Handwritten Digit Recognition","archived":false,"fork":false,"pushed_at":"2025-02-01T17:20:50.000Z","size":2188,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-01T17:28:11.017Z","etag":null,"topics":["deep-learning","handwritten-digit-recognition","keras-tensorflow","lenet-5","lenet-mnist","machine-learning","mnist","neural-networks","python3"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Sam783.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-01T15:47:34.000Z","updated_at":"2025-02-01T17:25:15.000Z","dependencies_parsed_at":"2025-02-01T17:39:28.178Z","dependency_job_id":null,"html_url":"https://github.com/Sam783/LeNet-MNIST","commit_stats":null,"previous_names":["sam783/lenet-mnist"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sam783%2FLeNet-MNIST","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sam783%2FLeNet-MNIST/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sam783%2FLeNet-MNIST/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sam783%2FLeNet-MNIST/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sam783","download_url":"https://codeload.github.com/Sam783/LeNet-MNIST/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246068280,"owners_count":20718503,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","handwritten-digit-recognition","keras-tensorflow","lenet-5","lenet-mnist","machine-learning","mnist","neural-networks","python3"],"created_at":"2025-02-02T17:58:54.156Z","updated_at":"2026-05-18T15:09:00.030Z","avatar_url":"https://github.com/Sam783.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"![image](https://github.com/user-attachments/assets/2272da12-dd87-4cb5-bb57-1893f30a4eca)\n\n# Dataset\nThe MNIST dataset consists of 60,000 training images and 10,000 test images of handwritten digits (0-9). Each image is 28x28 pixels in grayscale.\n\n# Model Architecture (LeNet-5)\n- **Input Layer**: 28×28 grayscale images  \n- **Conv Layer 1**: 32 filters (5×5), ReLU activation  \n- **MaxPooling Layer 1**: 2×2 pooling  \n- **Conv Layer 2**: 64 filters (5×5), ReLU activation  \n- **MaxPooling Layer 2**: 2×2 pooling  \n- **Flatten Layer**  \n- **Fully Connected Layer 1**: 120 neurons, ReLU activation  \n- **Fully Connected Layer 2**: 84 neurons, ReLU activation  \n- **Output Layer**: 10 neurons (Softmax for classification)\n  \n# Features\n- Implemented LeNet-5 architecture using TensorFlow/Keras\n- Trained on the MNIST dataset (28×28 grayscale images)\n- Utilizes CNNs for feature extraction and classification\n- Evaluates model performance using accuracy metrics\n- Developed a user-friendly interface using Streamlit for real-time digit recognition\n\n# Getting Started\n1. Clone the repository:\n   ```bash\n   https://github.com/Sam783/LeNet-MNIST.git\n   \n2. Navigate to the project directory:\n   ```bash\n   cd LeNet-MNIST\n   \n3. Install the required dependencies:\n   ```bash\n   pip install -r requirements.txt\n   \n4. Run the Streamlit app:\n   ```bash\n   streamlit run app.py\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsam783%2Flenet-mnist","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsam783%2Flenet-mnist","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsam783%2Flenet-mnist/lists"}