TensorFlow Quick Start Guide 🚀

Welcome to TensorFlow! Here's how to get started with machine learning:

1. Installation 🛠️

• Install TensorFlow via pip

  pip install tensorflow
  

• Alternative: Install with Docker

  docker run -it tensorflow/tensorflow:latest
  

2. Basic Concepts 🧠

• Tensors: Core data structures (🧠)
• Graphs: Computational flow visualization (📊)
• Sessions: Execution environment (🖥️)

3. Simple Code Example 💻

import tensorflow as tf

# Create a constant tensor
a = tf.constant(2)
b = tf.constant(3)

# Add tensors
result = tf.add(a, b)

# Run the session
with tf.Session() as sess:
    print("Result:", sess.run(result))  # Output: Result: 5

4. Next Steps 📚

• Explore TensorFlow Tutorials for hands-on projects
• Check TensorFlow API Docs for advanced features

TensorFlow Architecture