Welcome to the TensorFlow tutorials section! Here, you will find a variety of tutorials to help you get started with TensorFlow, a powerful open-source library for machine learning.

Getting Started

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

Tutorials

1. Basic Concepts

  • What is TensorFlow? Learn the basics of TensorFlow and its architecture.
  • TensorFlow Core API Explore the core API of TensorFlow and how to use it for various tasks.

2. Deep Learning

  • Neural Networks Understand the fundamentals of neural networks and how they work.
  • Convolutional Neural Networks (CNNs) Learn about CNNs and their applications in image recognition.

3. Reinforcement Learning

  • Introduction to Reinforcement Learning Get an overview of reinforcement learning and its applications.
  • Deep Q-Networks (DQN) Learn how to implement DQN for various tasks.

4. Transfer Learning

  • What is Transfer Learning? Discover the concept of transfer learning and its benefits.
  • Using Pre-trained Models Learn how to use pre-trained models in TensorFlow.

Useful Resources

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