Welcome to the TensorFlow tutorial! Whether you're a beginner or looking to deepen your understanding, this guide will help you embark on your journey with TensorFlow. Let's start with the basics!

1️⃣ Install TensorFlow

First, make sure you have TensorFlow installed. You can do this via pip:

pip install tensorflow

📌 Note: For GPU acceleration, consider installing the GPU version:

pip install tensorflow-gpu

install_tensorflow

2️⃣ First Program: Hello World

Let's create a simple program to get you started:

import tensorflow as tf
print("Hello, TensorFlow!")  # 🚀 Simple output

This will output:

Hello, TensorFlow!

hello_world

3️⃣ Data Processing & Model Building

TensorFlow simplifies data workflows and model creation. Here's a quick overview:

  • Data Handling: Use tf.data APIs for efficient data pipelines 📈
  • Model Creation: Build models with tf.keras or tf.estimator 🧱
  • Training: Leverage distributed training capabilities 🌍

data_processing

4️⃣ Advanced Topics

Once comfortable, explore these resources:

model_training

5️⃣ Community & Support

Join the TensorFlow community for help and inspiration:

model_deployment