Long short-term memory (LSTM) Courses and Certifications

Jeff Heaton

Programming LSTM with Keras and TensorFlow

1 review

Explore LSTM and GRU layers for recurrent neural networks in Keras, laying the groundwork for NLP and time series prediction with practical examples and implementations.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Venelin Valkov

LSTM Time Series Prediction Tutorial Using PyTorch in Python - Coronavirus Daily Cases Forecasting

Learn to forecast Coronavirus cases using LSTM and PyTorch. Covers data preprocessing, model building, training, evaluation, and future predictions with real-world time series data.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

tinyML

A Technique for Extreme Compression of LSTM Models

Explore extreme LSTM compression using sparse structured additive matrices. Learn doping techniques, co-matrix adaptation, and regularization for state-of-the-art accuracy at high compression factors in NLP applications.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Alfredo Canziani

Recurrent Neural Networks, Vanilla and Gated - LSTM

Explore recurrent neural networks, including LSTM, covering architectures, training methods, and practical implementations using PyTorch for sequence-based tasks in deep learning.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Long Short Term Memory Networks Explained Easily

Comprehensive explanation of LSTM networks, comparing them to simple RNNs and exploring their architecture and mathematical foundations for improved sequence learning.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Krish Naik

LSTM Recurrent Neural Network In Depth Intuition

Gain in-depth intuition on LSTM Recurrent Neural Networks, exploring memory cells, operations, and layers for advanced understanding of this powerful deep learning architecture.

• YouTube
• 23 minutes
• On-Demand
• Free Video

StatQuest with Josh Starmer

Long Short-Term Memory with PyTorch + Lightning

Learn to implement and train LSTM networks using PyTorch and Lightning, covering custom LSTM coding, PyTorch's built-in LSTM, and advanced training techniques for deep learning projects.

• YouTube
• 33 minutes
• On-Demand
• Free Video

StatQuest with Josh Starmer

Long Short-Term Memory (LSTM), Clearly Explained

Clear explanation of Long Short-Term Memory (LSTM) neural networks, their advantages over basic RNNs, and how they handle larger data sequences without gradient problems. Includes step-by-step breakdown of LSTM stages.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Discover AI

Matrix Long Short-Term Memory (mLSTM) - A New Alternative to Transformer LLMs

Explore the innovative xLSTM architecture and its matrix-based approach to neural networks, comparing its potential advantages over traditional transformer models in language processing.

• YouTube
• 23 minutes
• On-Demand
• Free Video

AI Bites

XLSTM: Understanding Extended LSTMs with sLSTM and mLSTM Architecture

Delve into the evolution of LSTM networks, exploring how XLSTM's innovative sLSTM and mLSTM components enable parallel processing and compete with transformers in sequence-related tasks.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Stanford Seminar - Transformers in Language: The Development of GPT Models Including GPT-3

Explore the evolution of language models from 3-Gram to GPT-3, examining their capabilities in various tasks and discussing the potential of unsupervised learning in AI development.

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

Advanced Computer Vision and Deep Learning

1 review

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
• 2 weeks, 4-5 hours a week
• On-Demand
• Paid Course

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
• On-Demand
• Paid Course

Natural Language Processing with Sequence Models

1142 ratings at Coursera

Train neural networks for sentiment analysis, text generation, named entity recognition, and question comparison using advanced NLP techniques like GLoVe embeddings, GRUs, LSTMs, and Siamese models.

• Coursera
• 21 hours 14 minutes
• On-Demand
• Free Online Course (Audit)

New York Institute of Finance;  Google Cloud

Reinforcement Learning for Trading Strategies

231 ratings at Coursera

Explore reinforcement learning for trading strategies, covering neural networks, LSTMs, and AutoML. Learn to build RL-based trading systems and optimize portfolios using advanced machine learning techniques.

• Coursera
• 12 hours 16 minutes
• On-Demand
• Free Online Course (Audit)