In this video, we explore how Long Short-Term Memory (LSTM) networks can be leveraged for next word prediction. LSTMs are a type of Recurrent Neural Network (RNN) known for their ability to capture long-term dependencies in sequential data, making them ideal for tasks like language modeling and text generation.
Topics Covered:
- Introduction to Recurrent Neural Networks (RNNs) and LSTMs
- Understanding the architecture of LSTMs and their key components
- Building an LSTM model for next word prediction using TensorFlow/Keras
- Training the model on a text dataset
- Evaluating the model's performance and generating text
#sudikshaanalytics #nlp #deeplearning #tutorial
Download
0 formats
No download links available.
Next Word Prediction Using LSTM #nlp #deeplearning #datascienceproject | NatokHD