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Deep Learning Networks

Design, Development and Deployment

af Jayakumar Singaram, S. S. Iyengar, Azad M. Madni ...

Serier serie Engineering (R0)
This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and ... Læs mere

653,79 kr.

This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and
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Building AI Agents with LLMs, RAG, and Knowledge Graphs

A practical guide to autonomous and modern AI agents

af Salvatore Raieli, Gabriele Iuculano ...

Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously DRM-free PDF version + access to Packt's next-gen ReaderKey FeaturesImplement RAG and knowledge graphs for advanced problem-solvingLeverage innovative approaches like LangChain to create real-world ... Læs mere

392,49 kr. eller Gratis med Kobo Plus

Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously DRM-free PDF version + access to Packt's next-gen ReaderKey FeaturesImplement RAG and knowledge graphs for advanced problem-solvingLeverage innovative approaches like LangChain to create real-world
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Generative AI with Python and TensorFlow 2

Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

af Joseph Babcock, Raghav Bali ...

This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook ... Læs mere

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Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition

af Amita Kapoor, Antonio Gulli, Sujit Pal, Francois Chollet ...

Build cutting edge machine and deep learning systems for the lab, production, and mobile devices.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and ... Læs mere

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af Antonio Gulli, Amita Kapoor, Sujit Pal ...

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep ... Læs mere

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Engineering (R0) Bogserier

Deep Learning Networks

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Building AI Agents with LLMs, RAG, and Knowledge Graphs

Generative AI with Python and TensorFlow 2

Deep Learning with TensorFlow and Keras

Deep Learning with TensorFlow 2 and Keras

Hands-On Computer Vision with TensorFlow 2

Algorithms For Dummies

Ultimate Neural Network Programming with Python

Mastering PyTorch

Practical Machine Learning for Computer Vision

A Dictionary of Computer Science

Artificial Intelligence By Example