Skill

Explore RNNs, LSTMs, and GRUs

December 2024 with Jonathan Barrios

Join Jonathan Barrios as we learn how to work with advanced neural network architectures like Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU). We'll build and optimize models optimized for sequential data.

Recommended Experience

Familiarity with Python programming
Basic understanding of machine learning workflows, especially sequential data management
Knowledge of sequence data concepts like time-series, text and audio processing

Related certifications

Professional TensorFlow Developer

Related Job Functions

Machine learning engineer
Natural language processing (NLP) engineer
AI Developer

Jonathan Barrios brings over a decade of teaching experience to deliver cutting-edge programming, data analytics, data science, and machine learning skills to CBT Nuggets.

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Skill Outline

1. Introduction (3:41)
2. Exploring RNNs: Equation and Memory (12:11)
3. Explore RNN, Bidirectional RNN, and LSTM (4:22)
4. Bidirectional RNN Model Architecture (6:19)
5. LSTM Model Architecture (6:12)
6. Challenge (11:23)

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