Sequence to Sequence Models Courses and Certifications

UofU Data Science

Introduction to Machine Translation with Sequence-to-Sequence Models

Master sequence-to-sequence modeling fundamentals and applications in machine translation, focusing on neural network architectures and practical implementation techniques.

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

Computing With Natural Language

Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.

• Udacity
• 25 hours
• On-Demand
• Paid Course

Deep Learning: Advanced Natural Language Processing and RNNs

6813 ratings at Udemy

Natural Language Processing (NLP) with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!

• Udemy
• 8 hours 21 minutes
• On-Demand
• Paid Course

Tensorflow 2.0 | Recurrent Neural Networks, LSTMs, GRUs

454 ratings at Udemy

Sequence prediction course that covers topics such as: RNN, LSTM, GRU, NLP, Seq2Seq, Attention, Time series prediction

• Udemy
• 1 hour 14 minutes
• On-Demand
• Free Online Course

Gen AI Foundational Models for NLP & Language Understanding

28 ratings at Coursera

Learn to implement, train, and evaluate generative AI models for NLP using PyTorch. Covers document classification, language modeling, translation, and building language models. Includes hands-on labs for practical application.

• Coursera
• 7 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Great Learning

Machine Translation

2 reviews

Explore AI-powered language translation, from statistical models to neural networks. Learn about RNNs, LSTMs, and sequence-to-sequence models, with a practical English-to-French translation example.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

Learn sequence-to-sequence video object segmentation techniques, exploring datasets, algorithms, and metrics. Gain insights into YouTube-VOS implementation and experimental results on various benchmarks.

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

Introduction to Attention-Based Neural Networks

58 ratings at LinkedIn Learning

Learn what attention-based models are, how they work, and what they can do for recurrent neural networks.

• LinkedIn Learning
• 2 hours 11 minutes
• On-Demand
• Free Trial Available

Building and Deploying Keras Models in a Multi-cloud Environment

17 ratings at Pluralsight

This in depth training gives you a first hand look at Keras Models. For multi cloud environments, Keras Models is what you need to create the perfect network.

• Pluralsight
• 2 hours 56 minutes
• On-Demand
• Free Trial Available

Alfredo Canziani

Deep Learning for Natural Language Processing

Explore NLP architectures, transformers, language models, and advanced techniques for text generation and embedding learning in this comprehensive deep learning lecture.

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

IEEE

Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures

Explore risks and countermeasures of using language models for propaganda, including classification vs sequence-to-sequence models, spin techniques, and defense strategies.

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

Abhishek Thakur

DALL-E Mini - Generate Images From a Text Prompt

Learn about DALL·E mini, a smaller version of OpenAI's DALL·E that generates images from text prompts. Explore its architecture, training process, and capabilities in this comprehensive overview.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Aladdin Persson

Pytorch Transformers for Machine Translation

Build a Seq2Seq Transformer model in PyTorch for German-to-English translation using the Multi30k dataset. Learn data preprocessing, model architecture, training setup, and evaluation with BLEU score.

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

Aladdin Persson

Pytorch Seq2Seq Tutorial for Machine Translation

Comprehensive tutorial on building a Seq2Seq model for German-English machine translation, covering implementation, training, and evaluation using PyTorch and the Multi30k dataset.

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

Yannic Kilcher

Deep Learning for Symbolic Mathematics

Explore neural networks solving complex mathematical problems like symbolic integration and differential equations, outperforming traditional Computer Algebra Systems.

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