What are the different types of recurrent cells commonly used in RNNs?
Sunday, 13 August 2023
by EITCA Academy
Recurrent Neural Networks (RNNs) are a class of artificial neural networks that are well-suited for sequential data processing tasks. They have the ability to process inputs of arbitrary length and maintain a memory of past information. The key component of an RNN is the recurrent cell, which is responsible for capturing and propagating information across
- Published in Artificial Intelligence, EITC/AI/DLPTFK Deep Learning with Python, TensorFlow and Keras, Recurrent neural networks, Introduction to Recurrent Neural Networks (RNN), Examination review
Tagged under:
Artificial Intelligence, Gated Recurrent Unit, GRU, Long Short-term Memory, LSTM, Recurrent Neural Networks, RNNs, Simple RNN
What limitation do RNNs have when it comes to predicting text in longer sentences?
Saturday, 05 August 2023
by EITCA Academy
Recurrent Neural Networks (RNNs) have proven to be effective in many natural language processing tasks, including text prediction. However, they do have limitations when it comes to predicting text in longer sentences. These limitations arise from the nature of RNNs and the challenges they face in capturing long-term dependencies. One limitation of RNNs is the
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Natural Language Processing with TensorFlow, ML with recurrent neural networks, Examination review
Tagged under:
Artificial Intelligence, GRU, Long-term Dependencies, LSTM, RNNs, Text Prediction, Vanishing Gradient Problem