Long short-term memory (LSTM) Courses and Certifications

Deep Learning Bootcamp

220 ratings at Udemy

Learn about Deep Learning - ANN, CNN, RNN, LSTMs along with Real Time Capstone Projects

• Udemy
• 6 hours 31 minutes
• On-Demand
• Paid Course

Natural Language Processing | Build LLM Web App | RNN & LSTM

68 ratings at Udemy

Create App Using Streamlit | Sentiment Analysis | Speech to text | Spam Detection

• Udemy
• 3 hours 9 minutes
• On-Demand
• Paid Course

Packt

Deep Learning - Recurrent Neural Networks with TensorFlow

Master recurrent neural networks for time series prediction and NLP tasks using TensorFlow. Implement advanced architectures like GRUs and LSTMs for stock forecasting, image classification, and text analysis.

• Coursera
• 5 hours 6 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Advanced RNN Concepts and Projects

Master advanced RNN concepts, implement GRUs and LSTMs, and apply them to real-world projects like text generation and stock price prediction using TensorFlow.

• Coursera
• 6 hours 28 minutes
• On-Demand
• Free Online Course (Audit)

Great Learning

Machine Translation

2 reviews

Explore AI-powered language translation, from statistical models to neural networks. Learn about RNNs, LSTMs, and sequence-to-sequence models, with a practical English-to-French translation example.

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

Pixel Recurrent Neural Networks

Explore cutting-edge image generation techniques, focusing on Pixel Recurrent Neural Networks. Learn about model architectures, RNN concepts, and LSTM equations for advanced AI applications.

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

Applied AI for IT Operations

320 ratings at LinkedIn Learning

Solve common challenges in IT operations using the power of AI. Review use cases in the world of IT ops and learn how to apply AI technologies to address key problems.

• LinkedIn Learning
• 1 hour 31 minutes
• On-Demand
• Free Trial Available

Recurrent Neural Networks

143 ratings at LinkedIn Learning

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

• LinkedIn Learning
• 1 hour 7 minutes
• On-Demand
• Free Trial Available

Introduction to Attention-Based Neural Networks

58 ratings at LinkedIn Learning

Learn what attention-based models are, how they work, and what they can do for recurrent neural networks.

• LinkedIn Learning
• 2 hours 11 minutes
• On-Demand
• Free Trial Available

Deep Learning for Natural Language Processing

Master deep learning architectures and their NLP applications, from word embeddings to transformers, covering advanced topics like RLHF, PEFT, and large language models with hands-on tutorials.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Data Science Courses

Recurrent Neural Networks and Backpropagation Through Time - Lecture 8

Dive into recurrent neural networks, exploring LSTM, GRU architectures, and advanced concepts like backpropagation through time and gradient challenges in deep learning implementations.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

ADC - Audio Developer Conference

Leveraging Pruning and Quantization for Efficient Real-Time Audio Applications

Explore pruning and quantization techniques to enhance efficiency of complex audio models for real-time processing in resource-constrained environments. Gain insights into model compression for audio applications.

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

Center for Language & Speech Processing(CLSP), JHU

Deep Learning in NLP and Beyond - 2015

Explore advanced machine learning in NLP, focusing on recurrent neural networks and deep learning. Gain insights into future research directions for developing language-understanding machines.

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

Center for Language & Speech Processing(CLSP), JHU

End-to-End Neural Speaker Diarization with Non-Autoregressive Attractors

Explore end-to-end neural speaker diarization with non-autoregressive attractors, improving robustness for real-life scenarios and handling variable speaker numbers in recordings.

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

Center for Language & Speech Processing(CLSP), JHU

Structure-Sensitive Dependency Learning in Recurrent Neural Networks - 2017

Explore RNNs' ability to learn structure-sensitive dependencies in language, focusing on English subject-verb agreement and comparing network performance to human errors.

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