TensorFlow Tutorials

Welcome to the TensorFlow tutorials section! Here, you will find a collection of resources to help you learn and master TensorFlow, an open-source machine learning framework developed by Google.

Getting Started

Before diving into the tutorials, make sure you have TensorFlow installed. You can find the installation instructions here.

Tutorials

1. Basic Concepts

What is TensorFlow? TensorFlow is an open-source software library for dataflow programming across a range of tasks. It is widely used for machine learning and deep learning applications.
Understanding Neural Networks Learn the basics of neural networks and how they work.
TensorFlow Core API Explore the core API of TensorFlow and its components.

2. Deep Learning Models

Convolutional Neural Networks (CNNs) Learn how to build and train CNNs for image recognition tasks.
Recurrent Neural Networks (RNNs) Understand RNNs and their applications in sequence data.
Generative Adversarial Networks (GANs) Discover how to create GANs for image generation.

3. Advanced Topics

Transfer Learning Learn how to leverage pre-trained models for your own tasks.
Optimization Techniques Explore various optimization techniques for improving model performance.
TensorFlow Lite Get started with TensorFlow Lite for mobile and embedded devices.

Resources

TensorFlow Documentation Access the official TensorFlow documentation for in-depth information.
TensorFlow GitHub Repository Check out the TensorFlow GitHub repository for the latest updates and contributions.