Building a Simple RNN to Predict Text | PyTorch Tutorial with Shakespeare Dataset

Learn how to build a Simple Recurrent Neural Network (RNN) using PyTorch to predict the next character in a text sequence. In this video, we'll train the RNN on Shakespeare's works to generate creative text outputs. From preprocessing the data to implementing the model and training, this tutorial has you covered. Whether you're a beginner in deep learning or looking to expand your PyTorch skills, this project is perfect for understanding RNNs step-by-step.

🖥️ Key Topics Covered:

Preprocessing text data
Understanding RNN architecture
Training a character-level RNN with PyTorch
Generating text from a trained RNN

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