Delve into the world of Deep Learning & Neural Networks, mastering advanced architectures such as Convolutional Neural Networks (CNNs) for image processing, Recurrent Neural Networks (RNNs) & LSTMs for sequential data, and cutting-edge models like Generative Adversarial Networks (GANs) and Transformers with attention mechanisms. Gain hands-on experience building and training these models using TensorFlow and PyTorch, and explore innovative concepts like Retrieval-Augmented Generation (RAG) pipelines, preparing you to tackle complex AI challenges in real-world applications.
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