Welcome to the TensorFlow tutorial! TensorFlow is an open-source library for numerical computation and large-scale machine learning. Here's how to begin your journey:

📦 Step 1: Install TensorFlow

  • Python Installation: Ensure Python 3.7+ is installed (Check here)
  • Install via pip: Run pip install tensorflow in your terminal
  • Verify Installation: Execute import tensorflow as tf; print(tf.__version__) to confirm

📘 Step 2: Understand Core Concepts

  • Tensors: N-dimensional arrays (e.g., scalars, vectors, matrices)
  • Graphs: Computational workflows visualized as nodes and edges
  • Sessions: Execute operations in a TensorFlow graph
  • Placeholders: Input data for training models

💻 Step 3: Run Your First Program

import tensorflow as tf

# Define a simple computation graph
a = tf.constant(5)
b = tf.constant(10)
result = tf.add(a, b)

# Create a session and run the graph
with tf.Session() as sess:
    print("Result:", sess.run(result))

Output: Result: 15

🚀 Step 4: Explore More Resources

Tensorflow