{"id":24103537,"url":"https://github.com/rickydoan/deep-learning-cnn-calltech101-pretrained-transfer-learning","last_synced_at":"2025-09-11T17:47:15.587Z","repository":{"id":271223168,"uuid":"912764392","full_name":"RickyDoan/Deep-Learning-CNN-Calltech101-Pretrained-transfer-learning","owner":"RickyDoan","description":null,"archived":false,"fork":false,"pushed_at":"2025-01-06T10:54:51.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-06T11:37:55.465Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/RickyDoan.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":"2025-01-06T10:49:14.000Z","updated_at":"2025-01-06T11:06:19.000Z","dependencies_parsed_at":"2025-01-06T11:37:59.227Z","dependency_job_id":"3a73d950-dcd3-4824-a926-35bbf76c8443","html_url":"https://github.com/RickyDoan/Deep-Learning-CNN-Calltech101-Pretrained-transfer-learning","commit_stats":null,"previous_names":["rickydoan/deep-learning--cnn---calltech101-pretrained-transfer-learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RickyDoan%2FDeep-Learning-CNN-Calltech101-Pretrained-transfer-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RickyDoan%2FDeep-Learning-CNN-Calltech101-Pretrained-transfer-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RickyDoan%2FDeep-Learning-CNN-Calltech101-Pretrained-transfer-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RickyDoan%2FDeep-Learning-CNN-Calltech101-Pretrained-transfer-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RickyDoan","download_url":"https://codeload.github.com/RickyDoan/Deep-Learning-CNN-Calltech101-Pretrained-transfer-learning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241070449,"owners_count":19904390,"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":[],"created_at":"2025-01-10T19:57:18.274Z","updated_at":"2025-02-27T22:48:06.002Z","avatar_url":"https://github.com/RickyDoan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🖼️ Caltech101 Image Classification with CNNs and Transfer Learning\n📋 Overview\n* This project involves image classification on the Caltech101 dataset, exploring both custom CNNs and pre-trained models to classify 102 object categories effectively.\n\n# 🛠 Key Methods and Workflow\n#Data Preparation\n* Images resized to 128x128 pixels.\n* Data augmentation (flips, rotations) applied to improve generalization.\n\n# Custom CNN\n* Built a CNN with convolutional, pooling, and fully connected layers.\n* Trained for 5 epochs, achieving 45% accuracy.\n* Transfer Learning\n\n# Fine-tuned ResNet18 and EfficientNet-B0:\n* ResNet18: 63% accuracy.\n* EfficientNet-B0: 85% accuracy.\n\n# Evaluation\n* Compared accuracy and loss across models.\n* Visualized predictions on random images with both true and predicted labels.\n# 🔑 Key Results\n* Pre-trained models significantly outperform training from scratch.\n* EfficientNet-B0 showed the best performance, achieving 85% accuracy in just one epoch of fine-tuning.\n* 🖇️ Try It Yourself\n* Google Colab Notebook\nFeel free to explore the code and share your suggestions! 🚀\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickydoan%2Fdeep-learning-cnn-calltech101-pretrained-transfer-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frickydoan%2Fdeep-learning-cnn-calltech101-pretrained-transfer-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickydoan%2Fdeep-learning-cnn-calltech101-pretrained-transfer-learning/lists"}