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RNN Assignment Instructions by nayanadg24 is a document available to read on EtoBox.
The RNN assignment for the AIMLCZG511 Deep Neural Networks course requires students to build LSTM/GRU and Transformer models for time series prediction, with a focus on understanding attention mechanisms and comparing architectural differences. Submissions must adhere to strict formatting and execution requirements, including the implementation of positional encoding and multi-head attention. The assignment is graded on various components, including model architecture, training performance, metrics calculat
- Author
- nayanadg24
- Language
- EN