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Machine learning

Resources

Transformer models

Transformer models: What are they, and how do they work?

Transformers have redefined how machines understand and generate human language by processing data sequentially. Learn what they are, how they
  • Emmanuel Ohiri

Resources

Data augmentation techniques for better model performance in the cloud

Data augmentation artificially expands datasets to improve model generalization and reduce overfitting. Discover various techniques for image, text, audio, and
  • Emmanuel Ohiri

Resources

Neural networks Generative Adversarial Networks

Neural networks: Introduction to generative adversarial networks

GANs consist of two neural networks - a generator & a discriminator - locked in a creative game. Learn how
  • Emmanuel Ohiri

Resources

Recurrent Neural Networks

Introduction to Recurrent Neural Networks (RNNs)

Learn how Recurrent Neural Networks process data points with knowledge of their order and relationship.
  • Emmanuel Ohiri

Resources

Convolutional Neural Networks

What are Convolutional Neural Networks (CNNs)?

Explore the architecture of Convolutional Neural Networks (CNNs), their ability to learn spatial hierarchies, and their role in artificial intelligence
  • Emmanuel Ohiri

Resources

Convolutional Neural Networks

Feedforward neural networks: everything you need to know

Dive deep into the structure, training, and real-world applications of feedforward neural networks.
  • Emmanuel Ohiri

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