{"id":18237461,"url":"https://github.com/soupu07/image_classification","last_synced_at":"2026-04-10T23:50:45.015Z","repository":{"id":259622340,"uuid":"879065943","full_name":"Soupu07/Image_Classification","owner":"Soupu07","description":"The project aimed to develop a machine learning model using TensorFlow and Keras to classify images of clothing items from the Fashion MNIST dataset.","archived":false,"fork":false,"pushed_at":"2024-10-26T22:44:43.000Z","size":223,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-22T05:14:19.567Z","etag":null,"topics":["data-science","data-science-projects","deep-learning","keras-tensorflow","python","python-data-analysis","python-programming-language","tensorflow"],"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/Soupu07.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":"2024-10-26T21:51:30.000Z","updated_at":"2024-10-26T22:44:47.000Z","dependencies_parsed_at":"2024-10-26T23:45:54.553Z","dependency_job_id":"7ee84dfd-3fe7-47b4-a2fe-8246ab232cca","html_url":"https://github.com/Soupu07/Image_Classification","commit_stats":null,"previous_names":["soupu07/image_classification"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Soupu07%2FImage_Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Soupu07%2FImage_Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Soupu07%2FImage_Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Soupu07%2FImage_Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Soupu07","download_url":"https://codeload.github.com/Soupu07/Image_Classification/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238837815,"owners_count":19539079,"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":["data-science","data-science-projects","deep-learning","keras-tensorflow","python","python-data-analysis","python-programming-language","tensorflow"],"created_at":"2024-11-05T02:04:38.795Z","updated_at":"2026-04-10T23:50:44.963Z","avatar_url":"https://github.com/Soupu07.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image_Classification\n\n\n**Background**\n\nYou are tasked with classifying images of clothing from the Fashion MNIST dataset using a Neural Network model built with Tensorflow and Keras. The dataset includes 60,000 training images and 10,000 test images, each of size 28x28 pixels, representing different classes of fashion items.\n\n\n**Questions:**\n\n**1.**\t**Data Loading and Exploration**\n\n  \t    ●\tWhat dataset is used in this case study, and how is it loaded into the model?\n   \n        ●\tWhat are the dimensions of the training and test images, and what do the labels represent?\n     \n        ●\tHow many classes are there, and what are the names of these classes?\n\n**2.**\t**Data Preprocessing**\n\n        ●\tWhy is it important to scale the pixel values between 0 and 1?\n\n        ●\tWhat function or method is used to perform this scaling?\n\n**3.**\t**Model Building and Compilation**\n\n        ●\tWhat type of model architecture is used in this solution? Briefly describe its layers.\n\n        ●\tWhich activation functions are used in the model, and why?\n\n        ●\tWhat loss function and optimizer are chosen for this model? Explain why they are suitable for this task.\n\n**4.**\t**Model Training**\n\n        ●\tExplain the concept of an epoch in model training. How many epochs were used in this case study?\n\n        ●\tWhat does the batch size parameter control, and how does it affect model training?\n\n**5.** **Evaluation**\n\n        ●\tWhat metrics are used to evaluate the model’s performance?\n\n        ●\tWhat was the final test accuracy achieved by the model, and how does it compare with training accuracy?\n\n**6.**\t**Predictions and Visualizations**\n\n        ●\tHow does the model make predictions, and what method is used to identify the predicted class?\n\n        ●\tWhat visualization techniques are used to understand the model's predictions? Explain the color coding for correct and incorrect predictions.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoupu07%2Fimage_classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoupu07%2Fimage_classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoupu07%2Fimage_classification/lists"}