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Deep Learning with Python | 1:a upplagan
- Pocket, Engelska, 2017
- Författare: Nikhil Ketkar
- Betyg:
512
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Beskrivning
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms.
This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included.
Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments.
What You Will Learn
- Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe
- Gain the fundamentals of deep learning with mathematical prerequisites
- Discover the practical considerations of large scale experiments
- Take deep learning models to production
Who This Book Is For
Om denna bok
Deep Learning with Python av Nikhil Ketkar är en Pocket bok med 226 sidor på Engelska. Detta är den 1:a upplagan som utgavs 2017 av Springer Nature.
Spara pengar – köp begagnad från Campusbokhandeln
Köp Deep Learning with Python begagnad från Campusbokhandeln och spara upp till 25% jämfört med nypris. Du kan bevaka den här boken så får du ett mail så fort vi får in den i lager som begagnad.
Genom att köpa & sälja begagnat sänker du kostnaden för studier både för dig och nästa student samtidigt som du gör nytta för klimatet.
Produktinformation
Kategori:
Data & IT
Bandtyp:
Pocket
Språk:
Engelska
ISBN:
9781484227657
Upplaga:
1
Utgiven:
2017-04-19
Förlag:
Springer Nature
Sidantal:
226
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