Build Deeper
- The Path to Deep Learning
- Indbinding:
- Paperback
- Sideantal:
- 272
- Udgivet:
- 9. januar 2019
- Størrelse:
- 178x254x14 mm.
- Vægt:
- 476 g.
- 8-11 hverdage.
- 3. december 2024
På lager
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Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Build Deeper
New 2019 Edition!Build Deeper is a complete and practical guide that can help you take the first few steps in deep learning. It will guide you step-by-step, from understanding the basic concepts, to building your first practical application.
It covers:
What Deep Learning is, and where it fits with Artificial Intelligence and Machine Learning.How Deep Learning came to be, its predecessors, and the path it took to evolve into what it is today.The important milestones it has passed through the years, and the impact they had on the field.What tools are available for us to learn and build deep learning applications, and how to set them up: Python, TensorFlow, Theano, Keras, and more, on any OS of your choosing: Windows, Linux, or Mac OS.Building our first simple deep learning model.The internal workings of a deep learning model.Using more advanced topics such as Data Augmentation, Transfer Learning, Bottleneck Features, and Fine Tuning to build a practical deep learning application.Getting started with Computer Vision.All you need now is a little enthusiasm ... who knows where it will take you!
Go a little deeper to discover ...
It covers:
What Deep Learning is, and where it fits with Artificial Intelligence and Machine Learning.How Deep Learning came to be, its predecessors, and the path it took to evolve into what it is today.The important milestones it has passed through the years, and the impact they had on the field.What tools are available for us to learn and build deep learning applications, and how to set them up: Python, TensorFlow, Theano, Keras, and more, on any OS of your choosing: Windows, Linux, or Mac OS.Building our first simple deep learning model.The internal workings of a deep learning model.Using more advanced topics such as Data Augmentation, Transfer Learning, Bottleneck Features, and Fine Tuning to build a practical deep learning application.Getting started with Computer Vision.All you need now is a little enthusiasm ... who knows where it will take you!
Go a little deeper to discover ...
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