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Deep Learning: RNNs and Transformers by Ishwari khebade is a document available to read on EtoBox.
Unit 6 discusses deep learning techniques for sequential and image data, focusing on RNNs, LSTMs, GRUs, Transformers, and CNNs. It highlights their structures, advantages, disadvantages, and applications in tasks like language modeling, speech recognition, and image classification. Additionally, it covers advanced architectures like ResNet and VGG, emphasizing their roles in improving model performance and training efficiency.
- Author
- Ishwari khebade
- Language
- EN