🚀 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.
• 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:

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.

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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