This course teaches how to build deep learning models using TensorFlow to predict rare probability events.
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59 Lessons
8h
Certificate of Completion
This course teaches how to build deep learning models using TensorFlow to predict rare probability events.
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This course includes
This course includes
Course Overview
This course aims to provide a practical understanding of the key constructs of deep learning, including Multi-layer Perceptrons, Long-Short-Term Memory (LSTM) networks, convolutional neural networks, and autoencoders, which focus on rare event prediction. Through this course, you’ll gain hands-on experience developing solutions for rare event prediction. You’ll start by modeling rare events that occur infrequently. Next, you’ll explore machine and deep learning solutions for imbalanced data. You’ll then le...
What You'll Learn
An understanding of deep learning fundamentals, including Multi-layer Perceptrons, LSTMs, convolutional neural networks, and autoencoders
Hands-on experience modeling rare events
The ability to build and train deep learning models using TensorFlow that predict rare events
Hands-on experience implementing LSTMs for capturing long-term dependencies in sequential data
What You'll Learn
An understanding of deep learning fundamentals, including Multi-layer Perceptrons, LSTMs, convolutional neural networks, and autoencoders
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Course Content
Getting Started
Rare Event Prediction
Multi-Layer Perceptrons (MLPs)
Long Short-Term Memory (LSTM) Networks
Convolutional Neural Networks (CNNs)
Autoencoders
8 Lessons
Conclusion
1 Lesson
Course Author
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Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Souvik Kundu
Front-end Developer
Eric Downs
Musician/Entrepeneur
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
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