Attention Mechanisms Courses and Certifications

Attention Mechanism - Deutsch

Erlernen Sie den Aufmerksamkeitsmechanismus zur Verbesserung von Machine Learning-Aufgaben wie Übersetzungen, Textzusammenfassungen und Question Answering in neuronalen Netzwerken.

• Coursera
• 18 minutes
• Self-Paced
• Paid Course

Deconstructing the Transformer Architecture

Master the Transformer architecture by building Multi-Head Attention, feed-forward networks, positional encodings, and complete encoder/decoder layers as reusable PyTorch modules from scratch.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Bringing Transformers to Life: Training & Inference

Master Transformer architecture by building complete models, implementing training pipelines with synthetic datasets, and exploring autoregressive generation with beam search strategies.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

Exploring the Transformer Architecture

Master Transformer architecture by building attention mechanisms from scratch, then fine-tune state-of-the-art NLP models using Hugging Face for real-world deployment.

• CodeSignal
• 14 hours
• Self-Paced
• Free Certificate
• 4 courses

Time Series Forecasting with GRUs

Master GRU-based time series forecasting with TensorFlow, covering bidirectional models, attention mechanisms, and hybrid CNN-GRU architectures for multivariate data prediction.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Time Series Forecasting with GRUs

Master GRU-based time series forecasting in PyTorch with bidirectional networks, attention mechanisms, and hybrid CNN-GRU models for multivariate data prediction and evaluation.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

RNNs for Time Series with PyTorch

Master time series forecasting using PyTorch by building RNNs, LSTMs, and GRUs for univariate and multivariate data, progressing to advanced hybrid models and attention mechanisms.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Explainable Machine Learning (XAI)

27 ratings at Coursera

Develop transparent and trustworthy AI solutions using explainable machine learning techniques. Implement local and global explainability methods, visualize neural networks, and explore emerging approaches for large language models.

• Coursera
• 14 hours 48 minutes
• Self-Paced
• Paid Course

Stanford CS224N - Natural Language Processing with Deep Learning 2023

Master cutting-edge neural networks for NLP, from word vectors to Transformers, with hands-on tutorials covering RNNs, attention mechanisms, and modern language models.

• YouTube
• 1 day 5 hours 12 minutes
• Self-Paced
• Free Video

Stanford CS224N - Natural Language Processing with Deep Learning - Winter 2021

Master neural networks, transformers, and attention mechanisms for text processing, translation, and language generation through Stanford's comprehensive deep learning approach.

• YouTube
• 1 day 7 hours 31 minutes
• Self-Paced
• Free Video

Data Science: Transformers for Natural Language Processing

3026 ratings at Udemy

ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch

• Udemy
• 19 hours 6 minutes
• Self-Paced
• Paid Course

Deep Learning for Natural Language Processing

Master neural networks for NLP, from feedforward and recurrent networks to transformers, transfer learning, and large language models, with practical implementation skills.

• Coursera
• 21 hours 3 minutes
• Self-Paced
• Paid Course

Generative AI Language Modeling with Transformers

150 ratings at Coursera

Learn to apply transformer-based models for NLP tasks, covering encoder-decoder architectures, attention mechanisms, and implementations of BERT and GPT models using PyTorch for text classification and translation.

• Coursera
• 9 hours 18 minutes
• Self-Paced
• Paid Course

Modern Natural Language Processing in Python

1832 ratings at Udemy

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

• Udemy
• 5 hours 48 minutes
• Self-Paced
• Paid Course

Packt

Decoding Large Language Models

1 rating

Unlock the architecture, training, and deployment of Large Language Models through hands-on expertise in fine-tuning, evaluation, and real-world integration strategies.

• Coursera
• 20 hours 28 minutes
• Self-Paced
• Paid Course