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"item_title" : "Applied Deep Learning",
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"item_description" : "Part 1 Introduction and Overview.- Introduction.- Part 2 Foundations of Mashine Learning.- Fundamentals of Machine Learning.- Supervised Learning.- Un-Supervised Learning.- Performance Evaluation Metrics.- Part 3 Deep Learning Concepts and Techniques.- Introduction to Deep Learning.- Image Classification and Object Detection.- Deep Learning Techniques for Time Series Modelling.- Natural Language Processing.- Deep Generative Models.- Deep Reinforcement Learning.- Part 4 Enterprise Machine Learning.- Accelerated Machine Learning.- Deploying and Hosting Machine Learning Models.- Enterprise Machine Learning Serving.",
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Applied Deep Learning : Tools, Techniques, and Implementation
by Paul Fergus and Carl Chalmers
Other Available Formats
Overview
Part 1 Introduction and Overview.- Introduction.- Part 2 Foundations of Mashine Learning.- Fundamentals of Machine Learning.- Supervised Learning.- Un-Supervised Learning.- Performance Evaluation Metrics.- Part 3 Deep Learning Concepts and Techniques.- Introduction to Deep Learning.- Image Classification and Object Detection.- Deep Learning Techniques for Time Series Modelling.- Natural Language Processing.- Deep Generative Models.- Deep Reinforcement Learning.- Part 4 Enterprise Machine Learning.- Accelerated Machine Learning.- Deploying and Hosting Machine Learning Models.- Enterprise Machine Learning Serving.
This item is Non-Returnable
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Details
- ISBN-13: 9783031044199
- ISBN-10: 3031044193
- Publisher: Springer
- Publish Date: July 2022
- Dimensions: 9.21 x 6.14 x 0.88 inches
- Shipping Weight: 1.53 pounds
- Page Count: 341
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