Welcome to the collection of deep learning tutorials! Whether you're a beginner or looking to expand your knowledge, these resources will help you understand and master the art of deep learning.

Basics of Deep Learning

  • Neural Networks: Learn the fundamentals of neural networks, including layers, activation functions, and backpropagation.
  • Deep Learning Frameworks: Explore popular frameworks like TensorFlow, PyTorch, and Keras.
  • Convolutional Neural Networks (CNNs): Understand how CNNs work and their applications in image recognition and processing.

Advanced Topics

  • Recurrent Neural Networks (RNNs): Learn about RNNs, which are useful for sequential data such as time series and natural language processing.
  • Generative Adversarial Networks (GANs): Discover how GANs can generate realistic images and other data.
  • Transformers: Explore the architecture behind state-of-the-art models like BERT and GPT.

Learn More

To dive deeper into deep learning, check out our comprehensive Deep Learning Course.

Here's an image to help visualize the layers of a neural network:

Neural_Network_Layers