Introduction to TensorFlow

TensorFlow is an open-source machine learning framework developed by Google. It allows developers to create and train models using Python, C++, and other languages. 📚

machine_learning

Getting Started

Installation

Install TensorFlow using pip: 

pip install tensorflow

⚠️ Note: Ensure you have Python 3.7+ installed before proceeding.

Basic Structure

A TensorFlow program typically includes:

  1. Graph Definition (using tf.Graph)
  2. Session Execution (using tf.Session)
  3. TensorFlow Variables & Operations

Example Code

Here's a simple neural network example: 

import tensorflow as tf

# Define model architecture  
model = tf.keras.Sequential([  
    tf.keras.layers.Dense(10, input_shape=(None, 5)),  
    tf.keras.layers.Dense(1)  
])

# Compile the model  
model.compile(optimizer='adam', loss='mse')

# Train the model  
model.fit(x_train, y_train, epochs=10)
neural_network

Further Learning

For more advanced tutorials, check out our TensorFlow Guide. 🌐
Want to explore other AI frameworks? Visit AI Tutorials. 🚀