A Deep-Learning-Based Persian Speech Recognition System
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Updated
May 22, 2023 - Jupyter Notebook
A Deep-Learning-Based Persian Speech Recognition System
Transformers applied on Time Series Forecasting
Attention in Seq2Seq with Teacher Forcing and Beam Search Decoding
Convolutional Language Model for Image Captioning
Implementation of GRU-based Encoder-Decoder Architecture with Bahdanau Attention Mechanism for Machine Translation from German to English.
Interact with a trained chatbot that uses sequence to sequence model with luong attention mechanism over jointly trained encoder-decoder modules and implementation of greedy search decoding module.
keras Neural Machine Translation using seq2seq with teacher forcing.
This notebooks, we train a seq2seq decoder model with teacher forcing. Then use the trained layers from the decoder to generate a Sonnet.
A keras implementation of word level encoder-decoder architecture with teacher forcing.
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