May the Fuzz Be with You
Explore how LSTM neural networks and Python can generate AI-driven test inputs for software testing and network security, improving upon traditional fuzzing techniques.
Why Transformers Work
Explore the inner workings of transformers in machine learning, their advantages over RNNs, and applications in NLP and dialogue handling, with live demos and clear explanations.
Text Prediction Using LSTM
Learn to train LSTM networks for English text prediction, covering data preparation, model architecture, and character-level forecasting techniques.
Music Generation with Magenta - Using Machine Learning in the Arts
Explore machine learning for music generation using Magenta. Learn about neural networks, train models on your style, and create new rhythms, melodies, and audio clips.
Deep Learning in NLP and Beyond - 2015
Explore advanced machine learning in NLP, focusing on recurrent neural networks and deep learning. Gain insights into future research directions for developing language-understanding machines.
MIT 6.S191 - Recurrent Neural Networks
Comprehensive lecture on Recurrent Neural Networks, covering theory, implementation, and applications. Explores sequence modeling, LSTM, attention mechanisms, and practical examples in deep learning.