https://github.com/bdr-pro/tensorflow
"Dive into AI with our project: Train neural nets on MNIST, perform linear regression with TensorFlow, and analyze videos with LSTM. #AI #TensorFlow #DeepLearning"
https://github.com/bdr-pro/tensorflow
ai deep-learning machine-learning nueral-networks tensorflow
Last synced: 2 months ago
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"Dive into AI with our project: Train neural nets on MNIST, perform linear regression with TensorFlow, and analyze videos with LSTM. #AI #TensorFlow #DeepLearning"
- Host: GitHub
- URL: https://github.com/bdr-pro/tensorflow
- Owner: BDR-Pro
- Created: 2024-03-10T21:06:20.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-11T20:35:09.000Z (over 2 years ago)
- Last Synced: 2025-06-16T02:09:05.491Z (about 1 year ago)
- Topics: ai, deep-learning, machine-learning, nueral-networks, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 234 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 AI for the Social Media Era 🚀
Hey 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. 🧠✨
## What's Cooking? 🍳
We've got three mouth-watering recipes for you:
1. **The Classic - A basic neural network**: Perfect for newcomers. It's like the grilled cheese of neural networks, using the MNIST dataset. 📈
2. **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. ☕🌙
3. **Cinema Critic - Our Convolutional LSTM model**: Binge-watch your way to a model that understands videos better than you do. 🎥💡
## Installation & Setup 🛠️
Before you jump in, make sure you have the following:
- Python installed (duh!). If you don't, are you even living in 2024? Download it [here](https://www.python.org/downloads/).
- TensorFlow, because we're fancy and we like to make computers learn stuff.
- TensorFlow Datasets, 'cause who has time to organize data?
- TensorFlow Text and Matplotlib, for when you need to plot that victory graph.
Run this in your command line, and you'll be golden:
```bash
pip install tensorflow tensorflow-datasets tensorflow-text matplotlib
```
## 1. The Classic: Basic Neural Network 🍞
Straight outta your intro to AI class, this model uses the MNIST dataset. It's like the ABCs but for recognizing handwritten digits.
Here's the gist:
- Load and preprocess data.
- Build and compile a Sequential model with Keras.
- Normalize data because we're tidy.
- Train and validate, then watch the accuracy like your favorite series' finale.
Check out `mnist.py` for the full code.
## 2. Gradint: Linear Regression, TensorFlow Style 📊
Ever 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.
Peep the code in `gradint.py`.
## 3. Cinema Critic: Understand Videos with Convolutional LSTM 🎬
Prepare to be mind-blown. This script takes video data and actually understands it (kinda). Perfect for your next TikTok-inspired project.
Dive into `transformer.py` and start predicting the next viral trend.
## Visualize to Actualize 🌈
We 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.
## Go Beyond 🚀
Think this is cool? You can do so much more! Customize, experiment, and maybe even start predicting the future (disclaimer: time machine not included).
## What's Next?
- Explore other datasets; switch up the models.
- Break stuff (in code); learn more.
- Join a hackathon, maybe?
- Follow us on [GitHub](https://www.github.com/bdr-pro).
Remember, 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!
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