Recurrent Neural Networks (RNN) Courses and Certifications

Graham Neubig

Neural Nets for NLP 2021 - Recurrent Neural Networks

Explores recurrent neural networks for NLP, including vanishing gradients, LSTMs, GRUs, bidirectional recurrence, and sentence modeling.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced NLP: Recurrent Neural Networks

Explore recurrent neural networks for sentence modeling, including vanishing gradients, LSTMs, prediction types, efficiency, and pre-training.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Alfredo Canziani

Recurrent Neural Nets - RNNs

Learn how recurrent neural networks process sequence data, progressing from vanilla RNNs to long short-term memory networks.

• YouTube
• 1 hour 38 minutes
• Self-Paced
• Free Video

IBM;  Amazon Career Certificate

Natural Language Processing

309 ratings at Udacity

Build NLP systems through hands-on projects in text preprocessing, machine translation, sentiment analysis, and speech recognition.

• Udacity
• 53 hours
• Self-Paced
• Paid Course

시퀀스 모델

1 rating

RNN·GRU·LSTM에서 트랜스포머까지, 시계열과 NLP를 위한 시퀀스 모델을 구축하고 훈련합니다.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course

Keras Fundamentals

In this track, you'll expand your deep learning knowledge and take your machine learning skills to the next level.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

Creating Sequence Models and Transformers

Build sequence models from tokenization and embeddings through RNNs, attention, and transformers, culminating in a transformer-based Q&A system.

• Udacity
• 11 hours
• Self-Paced
• Paid Course

Последовательные модели

Освойте рекуррентные модели, LSTM, GRU и механизм внимания для обработки текста, речи и других последовательных данных.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

النماذج المتعاقبة

تعلّم بناء وتدريب الشبكات العصبونية المتكررة وتطبيق آليات الانتباه على اللغة الطبيعية والصوت والبيانات المتعاقبة.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Advanced Computer Vision and Deep Learning

1 rating

Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.

• Udacity
• 9 hours
• Self-Paced
• Paid Course

Facebook

Intro to Deep Learning with PyTorch

36 ratings at Udacity

Learn the basics of deep learning and implement your own deep neural networks with PyTorch

• Udacity
• 26 hours
• Self-Paced
• Free Online Course

Natural Language Processing in TensorFlow

6538 ratings at Coursera

Build NLP systems in TensorFlow: tokenize text with Tokenizer and pad_sequences, train word embeddings for movie-review sentiment, and generate poetry with RNNs, GRUs and LSTMs.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Advanced Modeling for Text Classification

Build advanced text classifiers: bagging, voting, and gradient boosting ensembles in Python, then tokenize text and train neural networks and simple RNNs with TensorFlow.

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

Time Series Forecasting with LSTMs

Build, evaluate, and optimize LSTM networks for time series forecasting, with hands-on attention to error metrics, regularization, and training stability.

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