{"id":21233678,"url":"https://github.com/bdr-pro/tensorflow","last_synced_at":"2026-04-29T15:02:31.274Z","repository":{"id":226970291,"uuid":"770077014","full_name":"BDR-Pro/TensorFlow","owner":"BDR-Pro","description":"\"Dive into AI with our project: Train neural nets on MNIST, perform linear regression with TensorFlow, and analyze videos with LSTM. #AI #TensorFlow #DeepLearning\"","archived":false,"fork":false,"pushed_at":"2024-03-11T20:35:09.000Z","size":240,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-16T02:09:05.491Z","etag":null,"topics":["ai","deep-learning","machine-learning","nueral-networks","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/BDR-Pro.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":"2024-03-10T21:06:20.000Z","updated_at":"2024-03-11T20:17:10.000Z","dependencies_parsed_at":"2024-03-17T05:46:02.042Z","dependency_job_id":null,"html_url":"https://github.com/BDR-Pro/TensorFlow","commit_stats":null,"previous_names":["bdr-pro/tensorflow"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/BDR-Pro/TensorFlow","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BDR-Pro%2FTensorFlow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BDR-Pro%2FTensorFlow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BDR-Pro%2FTensorFlow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BDR-Pro%2FTensorFlow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BDR-Pro","download_url":"https://codeload.github.com/BDR-Pro/TensorFlow/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BDR-Pro%2FTensorFlow/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32430803,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T13:34:34.882Z","status":"ssl_error","status_checked_at":"2026-04-29T13:34:29.830Z","response_time":110,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["ai","deep-learning","machine-learning","nueral-networks","tensorflow"],"created_at":"2024-11-20T23:59:55.048Z","updated_at":"2026-04-29T15:02:31.244Z","avatar_url":"https://github.com/BDR-Pro.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🚀 AI for the Social Media Era 🚀\n\nHey there, tech-savvy squad! Welcome to our quick, no-BS guide on getting your AI models up and running faster than you can say \"TikTok\". Dive into the world of deep learning without the deep confusion. 🧠✨\n\n## What's Cooking? 🍳\n\nWe've got three mouth-watering recipes for you:\n\n1. **The Classic - A basic neural network**: Perfect for newcomers. It's like the grilled cheese of neural networks, using the MNIST dataset. 📈\n\n2. **Linear Regression - But make it TensorFlow**: This ain't your grandpa's stats class. Predict real stuff, like how much coffee you'll need to code all night. ☕🌙\n\n3. **Cinema Critic - Our Convolutional LSTM model**: Binge-watch your way to a model that understands videos better than you do. 🎥💡\n\n## Installation \u0026 Setup 🛠️\n\nBefore you jump in, make sure you have the following:\n\n- Python installed (duh!). If you don't, are you even living in 2024? Download it [here](https://www.python.org/downloads/).\n- TensorFlow, because we're fancy and we like to make computers learn stuff.\n- TensorFlow Datasets, 'cause who has time to organize data?\n- TensorFlow Text and Matplotlib, for when you need to plot that victory graph.\n\nRun this in your command line, and you'll be golden:\n\n```bash\npip install tensorflow tensorflow-datasets tensorflow-text matplotlib\n```\n\n## 1. The Classic: Basic Neural Network 🍞\n\nStraight outta your intro to AI class, this model uses the MNIST dataset. It's like the ABCs but for recognizing handwritten digits.\n\nHere's the gist:\n\n- Load and preprocess data.\n- Build and compile a Sequential model with Keras.\n- Normalize data because we're tidy.\n- Train and validate, then watch the accuracy like your favorite series' finale.\n\nCheck out `mnist.py` for the full code.\n\n## 2. Gradint: Linear Regression, TensorFlow Style 📊\n\nEver wondered if there's a pattern in life? Well, there is in data. This script shows you how to predict outcomes with a linear relationship. Simple yet effective, like avocado toast.\n\nPeep the code in `gradint.py`.\n\n## 3. Cinema Critic: Understand Videos with Convolutional LSTM 🎬\n\nPrepare to be mind-blown. This script takes video data and actually understands it (kinda). Perfect for your next TikTok-inspired project.\n\nDive into `transformer.py` and start predicting the next viral trend.\n\n## Visualize to Actualize 🌈\n\nWe don't stop at just building models. We show you how they did! With our code, you'll plot training and validation accuracy and loss, making your results Insta-worthy.\n\n## Go Beyond 🚀\n\nThink this is cool? You can do so much more! Customize, experiment, and maybe even start predicting the future (disclaimer: time machine not included).\n\n## What's Next?\n\n- Explore other datasets; switch up the models.\n- Break stuff (in code); learn more.\n- Join a hackathon, maybe?\n- Follow us on [GitHub](https://www.github.com/bdr-pro).\n\nRemember, whether you're here to build the next big algorithm or just trying to pass your AI class, we've got your back. Let's make something awesome together!\n\n---\n![alt text](cnn.png)\n\n![alt text](detailcnn.png)\n\n![Long_Short-Term_Memory svg](https://github.com/BDR-Pro/TensorFlow/assets/91114465/f217d3fe-1b21-4093-ba47-35c082904019)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbdr-pro%2Ftensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbdr-pro%2Ftensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbdr-pro%2Ftensorflow/lists"}