TensorFlow

Google's open-source machine learning framework for building and training neural networks

Overview

TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.

Key Features

  • Easy model building with Keras and eager execution
  • Robust ML production anywhere with TensorFlow Extended
  • Powerful experimentation for research
  • Cross-platform deployment

Getting Started

# Install TensorFlow
pip install tensorflow

# Import TensorFlow
import tensorflow as tf

# Create a simple model
model = tf.keras.Sequential([
    tf.keras.layers.Dense(128, activation='relu'),
    tf.keras.layers.Dense(10, activation='softmax')
])