Description:

This course will guide you through building a Long Short-Term Memory (LSTM) text classification model using PyTorch. You will learn how to preprocess text data, create an LSTM model architecture, train the model, and evaluate its performance for text classification tasks.

Key Highlights:

• Hands-on project-based learning
• Text data preprocessing techniques
• LSTM model implementation
• Model training and evaluation
• Real-world text classification applications

What you will learn:

• Implement LSTM text classification model
  Learn to implement a LSTM model for text classification tasks using PyTorch
• Preprocess text data for LSTM model
  Understand the importance of text data preprocessing and apply techniques for LSTM model training
• Evaluate model performance
  Learn how to evaluate the performance of an LSTM text classification model