Build Basic Generative Adversarial Networks (GANs)

This DeepLearning course is at the intermediate level. The principles of Generative Adversarial Networks (GANs) are introduced by AI. Students learn how generators and discriminators function, construct their first GAN with PyTorch, create Deep Convolutional GANs (DCGANs), comprehend methods for enhancing GAN training, and make conditional GANs that can produce [...]

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Attention Mechanism

This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine [...]

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