Siirry suoraan sisältöön
Kotisivulle
Kirjoja, pelejä, lankoja, askartelutarvikkeita ym.
The Deep Learning Architect's Handbook
Tallenna

The Deep Learning Architect's Handbook

nidottu, englanti, 2023
Kirjailija:
59,30 €
TilaustuoteVoidaan toimittaa 7-20 arkipäivässä
Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle Key Features Interpret your models’ decision-making process, ensuring transparency and trust in your AI-powered solutions Gain hands-on experience in every step of the deep learning life cycle Explore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learn Use neural architecture search (NAS) to automate the design of artificial neural networks (ANNs) Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model Deal with multi-modal data drift in a production environment Evaluate the quality and bias of your models Explore techniques to protect your model from adversarial attacks Get to grips with deploying a model with DataRobot AutoML Who this book is forThis book is for deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.

Lisätietoa Adlibriksesta

Tietoa Adlibriksesta

Olemme Pohjoismaiden suurin verkkokirjakauppa, ja haluamme inspiroida seuraavan lukuelämyksen löytämiseen. Haluamme johdattaa sinut löytämään kirjoja, jotka lumoavat, liikuttavat ja koskettavat tai hetkeksi vievät mukanaan täysin toiseen maailmaan. Löydät meiltä yli 13 miljoonaa kirjaa sekä uusimmat pelit, askartelutarvikkeet, langat sekä muut nykyaikaisen kirjakaupan tuotteet.  

 

  • Sujuvat toimitukset

  • Aina edulliset hinnat

  • Ilmainen toimitus yli 39,90 € tilauksiin

Tilaa uutiskirje

Saat tietoa kampanjoista, uutuuksista ja sinulle valituista kirjavinkeistä. Tilaa nyt, niin saat 10 % alennuksen seuraavasta ostoksestasi. Tarjous on tarkoitettu yksityisasiakkaille, ja se koskee vain uusia uutiskirjeen tilaajia. Alennus ei koske oppikirjoja, digitaalisia kirjoja eikä lahjakortteja.