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#Sequence to Sequence Models

Showing: 23 courses
Great Learning

Machine Translation

2 rewiews
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.
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13 Lesons
1 hour 23 minutes
On-Demand
Free-Video
University of Central Florida

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

0 rewiews
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.
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10 Lesons
24 minutes
On-Demand
Free-Video
Simons Institute

Iterated Models: Expressive Power, Learning, and Chain of Thought

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Explore sequence-to-sequence models, focusing on transformers, their computational power, and learning complexities. Gain insights into iterated functions and chain of thought.
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1 Lesons
54 minutes
On-Demand
Free-Video
Simons Institute

Introduction to Transformers

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Dive into the fundamentals of Transformers, exploring their architecture and applications in large language models with expert insights from Columbia University.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Simons Institute

How Do Transformers Work? - A Deep Dive into Neural Network Architecture

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Dive into the fundamental mechanics and architecture of transformer models, exploring their key components and operational principles through expert insights from MIT's research.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Discover AI

Fine-tune T5 Language Model for Text Summarization on Google Colab

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Master fine-tuning techniques for T5 language models using HuggingFace's latest code, focusing on text summarization tasks with hands-on implementation in Google Colab's free GPU environment.
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1 Lesons
15 minutes
On-Demand
Free-Video
Data Science Courses

Attention Mechanism and Self-Attention in Deep Learning - Lecture 9

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Dive into attention mechanisms and self-attention concepts in deep learning, exploring their revolutionary impact on NLP and discovering practical applications in sequence models.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
UofU Data Science

Introduction to Machine Translation with Sequence-to-Sequence Models

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Master sequence-to-sequence modeling fundamentals and applications in machine translation, focusing on neural network architectures and practical implementation techniques.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science

Finetuning a Sequence-to-Sequence Model with RLHF

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Master sequence-to-sequence model finetuning techniques and reinforcement learning from human feedback (RLHF) through hands-on demonstrations and practical implementations.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
BasisTech

Understanding Names with Neural Networks - Session 2

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Explore neural network-based approaches for cross-language name matching, focusing on English/Japanese pairs and comparing traditional methods with advanced deep learning techniques.
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21 Lesons
59 minutes
On-Demand
Free-Video
BasisTech

Understanding Names with Neural Networks - Session 1

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Explore neural network approaches for cross-language name matching, focusing on English/Japanese. Learn about seq2seq models, LSTMs, and CNNs for improved accuracy in transliteration and scoring.
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21 Lesons
52 minutes
On-Demand
Free-Video
Aladdin Persson

Pytorch Transformers for Machine Translation

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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.
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7 Lesons
34 minutes
On-Demand
Free-Video
Aladdin Persson

Pytorch Seq2Seq Tutorial for Machine Translation

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Comprehensive tutorial on building a Seq2Seq model for German-English machine translation, covering implementation, training, and evaluation using PyTorch and the Multi30k dataset.
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10 Lesons
51 minutes
On-Demand
Free-Video
Graham Neubig

CMU Multilingual NLP - Machine Translation-Sequence-to-Sequence Models

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Explore conditional language modeling, sequence-to-sequence models, generation methods, attention mechanisms, and transformers in multilingual natural language processing.
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26 Lesons
44 minutes
On-Demand
Free-Video
Graham Neubig

CMU Neural Nets for NLP 2020 - Multitask and Multilingual Learning

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Explore multitask and multilingual learning in NLP, covering methods, objectives, and challenges. Gain insights into cross-lingual transfer, data balancing, and zero-shot approaches.
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18 Lesons
1 hour 3 minutes
On-Demand
Free-Video
IEEE

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

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Explore risks and countermeasures of using language models for propaganda, including classification vs sequence-to-sequence models, spin techniques, and defense strategies.
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7 Lesons
17 minutes
On-Demand
Free-Video
Yannic Kilcher

Deep Learning for Symbolic Mathematics

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Explore neural networks solving complex mathematical problems like symbolic integration and differential equations, outperforming traditional Computer Algebra Systems.
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7 Lesons
24 minutes
On-Demand
Free-Video
Alfredo Canziani

Deep Learning for Natural Language Processing

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Explore NLP architectures, transformers, language models, and advanced techniques for text generation and embedding learning in this comprehensive deep learning lecture.
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7 Lesons
1 hour 41 minutes
On-Demand
Free-Video
Abhishek Thakur

DALL-E Mini - Generate Images From a Text Prompt

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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.
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22 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Beyond Standard Deep Learning Models for Time Series and Sequences

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Explore advanced techniques for temporal data analysis, including confident predictions and adaptive computational time models for improved sequence-to-sequence processing.
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1 Lesons
32 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Streaming Sequence Transduction through Dynamic Compression

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Explore efficient sequence-to-sequence transduction with STAR, a novel Transformer-based model for streaming ASR and simultaneous speech-to-text tasks.
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1 Lesons
46 minutes
On-Demand
Free-Video
PapersWeLove

Attention Is All You Need - A Landmark Paper in AI

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Explore the groundbreaking "Attention Is All You Need" paper, its impact on modern AI, and the potential of transformer architecture in various applications beyond machine translation.
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1 Lesons
49 minutes
On-Demand
Free-Video
MIT HAN Lab

Transformer and Large Language Models - Part II - Lecture 13

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Explore advanced concepts of Transformers and Large Language Models in this in-depth lecture from MIT's EfficientML course.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video