Welcome to TensorFlow! Whether you're a beginner or looking to deepen your understanding, this guide will help you kickstart your journey with TensorFlow. Let's dive in!
📋 Prerequisites
Before you begin, make sure you have:
- Python 3.7+ installed
- A basic understanding of programming concepts
- An internet connection for package installation
🧰 Installation
To get started, install TensorFlow via pip:
pip install tensorflow
📌 Note: If you're using a Jupyter notebook, add --upgrade to ensure the latest version:
pip install --upgrade tensorflow
🧠 Core Concepts
TensorFlow revolves around these key ideas:
- Tensors - Multi-dimensional arrays that flow through the computational graph
- Graphs - Visual representation of operations and data flow
- Sessions - Execution environment for running computations
📚 First Program: Hello World
import tensorflow as tf
# Create a constant tensor
hello = tf.constant("Hello, TensorFlow!")
# Start a session and run the tensor
with tf.Session() as sess:
print(sess.run(hello))
👉 Run this code to see TensorFlow in action! 🚀
🌐 Extend Your Learning
Ready to explore more? Check out our TensorFlow Tutorials for hands-on projects and advanced topics.
🧠 Need help understanding concepts? Visit our documentation for detailed explanations.