Long short-term memory (LSTM) Courses and Certifications

Natural Language Generation in Python

Imitate Shakespear, translate language and autocomplete sentences using Deep Learning in Python.

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

RNNs and Transformers

This course covers multiple RNN architectures and discusses design patterns for those models. You'll also learn about transformer architectures.

• Udacity
• 3 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

MLCon | Machine Learning Conference

Long Short-Term Memory - LSTM Models with TensorFlow

Dive into LSTM implementation using TensorFlow's Python API for natural language understanding. Learn the math and code behind this powerful RNN architecture in a hands-on session.

• YouTube
• 1 hour
• Self-Paced
• Conference Talk

Sequence Models & The Dawn of Attention

Build attention mechanisms from QKV tensors and masking, then implement reusable attention modules in PyTorch.

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

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

Coursera

Fake News Detection with Machine Learning

266 ratings at Coursera

Train a bidirectional LSTM deep learning model on a news corpus to automatically classify circulating news articles as fake or genuine.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

New York Institute of Finance;  Google Cloud

Reinforcement Learning for Trading Strategies

251 ratings at Coursera

Build trading strategies with reinforcement learning: distinguish actor-based from value-based policies, combine RL with neural networks and LSTMs, and train models using AutoML.

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

Advanced Machine Learning and its Applications

Develop and evaluate advanced AI solutions in Python using data preprocessing, neural network optimization, deep learning, and generative models including CNNs, LSTMs, GANs, and diffusion models.

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

Fundamentals of CNNs and RNNs

40 ratings at Coursera

An introductory survey of CNN and RNN architectures, from convolution and pooling to recurrent models including LSTMs and GRUs.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt Career Certificate

Deep Learning: Recurrent Neural Networks with Python

5 ratings at Coursera

Build and train recurrent neural networks in TensorFlow, from gradient descent in RNNs to GRUs and LSTMs, then create an automatic book writer and stock price predictor.

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

Packt

Advanced RNN Concepts and Projects

Solve the vanishing gradient problem with GRUs, LSTMs, bidirectional RNNs, and attention, then build text generation and stock price prediction models in TensorFlow.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Sentiment Analysis with RNNs in Keras

Build LSTM sentiment classifiers in Keras: tokenize and pad IMDB review text, train simple and complex RNN models, plot results, and predict review sentiment.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

Packt

Building a Traffic Volume Predictor

Build an LSTM traffic volume predictor in PyTorch using real-world Minnesota highway data, weather, and time-based variables.

• Coursera
• 1 hour
• Self-Paced
• Paid Course