Long short-term memory (LSTM) Courses and Certifications

Literacy Essentials: Core Concepts Recurrent Neural Networks

This course will teach you the core concepts of Recurrent Neural Networks.

• Pluralsight
• 1 hour 13 minutes
• On-Demand
• Free Trial Available

Natural Language Processing

Explore natural language processing (NLP) concepts, review Text preprocessing and data cleaning, learn forward propagation and back propagation in neural networks, Word Embedding using Keras and deep learning with examples

• YouTube
• 10 hours
• On-Demand
• Free Online Course

Deep Learning with Keras - Python

Master deep learning models using Python's Keras library in this 1-2 hour series. Learn about neural networks, activation functions, and implement a chatbot using Word2vec and LSTM.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

Recurrent Neural Networks

Learn the basics of recurrent neural networks to get up and running with RNN quickly.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Python Engineer

TensorFlow 2 Beginner Course

Learn TensorFlow 2.0 with Python Engineer in a 3-hour beginner-friendly program. Gain hands-on experience through 11 lessons, including projects and the Keras API.

• YouTube
• 3 hours 19 minutes
• On-Demand
• Free Online Course

Python Engineer

PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial

Learn to predict time sequences using LSTMCells in PyTorch with Python Engineer's tutorial. Understand sine wave signals and forecast future values in under an hour.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

DigitalSreeni

Text Prediction Using LSTM

Learn to predict English text using LSTM with DigitalSreeni's tutorial. Understand time series forecasting and sequence predictions in less than an hour.

• YouTube
• 29 minutes
• On-Demand
• Free Online Course

Aleksa Gordić - The AI Epiphany

AudioGen- Textually Guided Audio Generation - Paper Explained

Explore text-guided audio synthesis with Aleksa Gordić's deep dive into the AudioGen paper, covering topics like audio representation, LSTM, and audio language modeling in under an hour.

• YouTube
• 37 minutes
• On-Demand
• Free Online Course

Alexander Amini;  MIT

MIT 6.S191 - Recurrent Neural Networks

Dive into deep learning with MIT's 1-2 hour material on Recurrent Neural Networks, covering sequence modeling, LSTM, RNN applications, and more.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Online Course

Brandon Rohrer

Recurrent Neural Networks and Long Short-Term Memory

Learn about Recurrent Neural Networks and Long Short-Term Memory in less than an hour with Brandon Rohrer, including practical applications.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

Nicholas Renotte

Sign Language Detection Using Action Recognition with Python - LSTM Deep Learning Model

Learn to decode sign language using action detection and LSTM deep learning model with Python in this 2-3 hour tutorial by Nicholas Renotte.

• YouTube
• 2 hours 27 minutes
• On-Demand
• Free Online Course

Yannic Kilcher

Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs - Paper Explained

Explore the intersection of AI, biology, and neuroscience with Yannic Kilcher's short study on how Predictive Coding can approximate Backpropagation, bridging the gap between deep learning and brain functions.

• YouTube
• 48 minutes
• On-Demand
• Free Online Course

Graham Neubig

CMU Advanced NLP: Recurrent Neural Networks

Explore Recurrent Neural Networks, LSTMs, and sentence modeling in this 1-2 hour material by Graham Neubig, part of CMU's Advanced NLP series.

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

Graham Neubig

Neural Nets for NLP - Recurrent Networks for Sentence or Language Modeling

Explore Recurrent Networks, LSTMs, and sentence modeling with Graham Neubig's 1-2 hour material. Gain insights into the strengths and weaknesses of recurrence in NLP.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Online Course

Graham Neubig

Neural Nets for NLP 2017 - Recurrent Neural Networks

Explore Recurrent Neural Networks, LSTMs, and sentence modeling in this 1-2 hour material by Graham Neubig, part of CMU's Neural Networks for NLP series.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Online Course