Introduction to TensorFlow: A Beginner’s Guide

TensorFlow is one of the most powerful open-source libraries for machine learning and deep learning. Developed by Google Brain, it provides a flexible ecosystem for building and deploying AI models.

Why Learn TensorFlow?

1. Scalability – Works on CPUs, GPUs, and TPUs.

2. Flexibility – Supports neural networks, reinforcement learning, and more.

3. Industry Standard – Used by companies like Google, Airbnb, and Uber.

4. Community Support – Large and active open-source community.

Installing TensorFlow

To get started, install TensorFlow using pip:

pip install tensorflow

Verify installation:

import tensorflow as tf

print(tf.__version__)

Basic TensorFlow Code

Let’s create a simple Tensor in TensorFlow:

import tensorflow as tf

# Create a constant tensor

tensor = tf.constant([[1, 2], [3, 4]])

print(tensor)

Next Steps

Learn about Tensors and operations.

Explore TensorFlow’s Keras API for deep learning.

Train your first neural network.

Stay tuned for more beginner-friendly tutorials on TensorFlow!