Sequence Modeling Courses and Certifications

Spectral Transformers for Long-Range Sequence Modeling and Prediction

Explore spectral state space models and their innovative approach to sequence modeling, featuring robust performance, fixed convolutional filters, and efficient long-range prediction capabilities.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Handling Multivariate Time Series with RNNs

Master multivariate time series forecasting with RNNs using Air Quality data, covering preprocessing, model building, and evaluation techniques for accurate predictions.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Packt

Sequence Modeling, Transformers, and Transfer Learning

Master sequence modeling, transformers, and transfer learning to build powerful NLP models using RNNs, attention mechanisms, and fine-tuning techniques for real-world applications.

• Coursera
• 9 hours 48 minutes
• On-Demand
• Paid Course

Stanford Seminar - Decision Transformer: Reinforcement Learning via Sequence Modeling

2 reviews

Innovative approach to reinforcement learning using sequence modeling and Transformer architecture, offering simplicity and scalability while matching or exceeding state-of-the-art performance in various tasks.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Yannic Kilcher

Retentive Network - A Successor to Transformer for Large Language Models

Explores Retentive Network as an alternative to Transformer, offering training parallelism and efficient inference for large language models. Discusses retention mechanism, computation paradigms, and experimental results.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Alexander Amini

Recurrent Neural Networks, Transformers, and Attention

Explore recurrent neural networks, transformers, and attention mechanisms in deep learning. Learn design principles, applications, and advanced concepts like LSTM and backpropagation through time.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Sequence Modeling with Neural Networks

1 review

Explore sequence modeling with neural networks, focusing on RNNs, their challenges, and solutions like gated cells. Learn applications in music generation and machine translation.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Yannic Kilcher

Decision Transformer - Reinforcement Learning via Sequence Modeling

Explore how Decision Transformer reframes offline reinforcement learning as sequence modeling, leveraging Transformer architecture to generate optimal actions based on desired returns, past states, and actions.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Yannic Kilcher

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Explore Mamba, a novel linear-time sequence modeling architecture using selective state spaces. Learn about its advantages over Transformers and its applications in language, audio, and genomics.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Attention Mechanism with Google Cloud

Discover how neural networks focus on key inputs using attention mechanisms to enhance translation, summarization, and question answering tasks.

• Udacity
• 1 hour
• On-Demand
• Free Online Course

Deep Learning Architectures - Memory and Sequence Modeling - Lecture 10

Explore memory architectures in deep learning, covering RNNs, LSTMs, and sequence modeling techniques for processing information over time.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Graham Neubig

Language and Sequence Modeling - CMU Advanced NLP Fall 2024 - Lecture 3

Explore language modeling, from count-based to neural network approaches. Learn to measure model performance and understand feed-forward neural networks for NLP tasks.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Introduction to RNNs for Time Series Analysis

Master RNN, LSTM, and GRU models for time series forecasting and classification with hands-on techniques for univariate and multivariate data analysis.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Time Series Forecasting with LSTMs

1 review

Master LSTM networks for time series forecasting with PyTorch, building optimized models that handle long-term dependencies and evaluating performance using RMSE, MAE, and MAPE metrics.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Applied Deep Learning: Build a Chatbot - Theory, Application

1019 ratings at Udemy

Understand the Theory of how Chatbots work and implement them in Python and PyTorch!

• Udemy
• 6 hours 10 minutes
• On-Demand
• Free Online Course