- Почетна страница /
- Knjige /
- Računari i tehnologija /
- Informatika /
- AI & Machine Learning /
- Neural Networks /
- Advanced Deep Learning with Python: Design an...
Advanced Deep Learning with Python: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
RSD 5484
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from SAD
QTY:
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Детаљи о производу
- Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystemKey FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook DescriptionIn order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application.You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles.By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world.What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is forThis book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.Table of ContentsThe Nuts and Bolts of Neural NetworksUnderstanding Convolutional NetworksAdvanced Convolutional NetworksObject Detection and Image SegmentationGenerative ModelsLanguage ModellingUnderstanding Recurrent NetworksSequence-to-Sequence Models and AttentionEmerging Neural Network DesignsMeta LearningDeep Learning for Autonomous Vehicles
| Publisher | Packt Publishing |
| Publication date | December 12, 2019 |
| Edition | 1st |
| Language | English |
| File size | 51.8 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 814 pages |
| ISBN-13 | 978-1789952711 |
| Page Flip | Enabled |
| Item Weight | 1.5 lbs (680 grams) |
OPIS PROIZVODA
Advanced Deep Learning with Python: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
Питања и одговори купаца
-
Pitanje:
Како купити Advanced Deep Learning with Python: Design and на мрежи од Убуи-а?
Odgovor: Лако је куповати Advanced Deep Learning with Python: Design and на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију. -
Pitanje:
Да ли је Advanced Deep Learning with Python: Design and доступан за онлајн куповину у Serbia?
Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Advanced Deep Learning with Python: Design and није доступан локално, али можете нам веровати у наше услуге експресне испоруке. -
Pitanje:
Колико времена је потребно да се производ добије након наручивања?
Odgovor: Време испоруке вашег нарученог производа варира у зависности од тога шта сте наручили и начина испоруке који сте изабрали.. Процењено време испоруке се помиње током процеса плаћања, па будите безбрижни док купујете.
Neural Networks Editorial Review
Customer Reviews & Ratings
-
5 zvezda
61%
-
4 zvezda
25%
-
3 zvezda
4%
-
2 zvezda
10%
-
1 zvezda
0%
Ocenite ovaj proizvod
Podelite svoja razmišljanja sa drugim kupcima
Customers also viewed these products
Product Price History
Važna informacija
- Ograničenja: Za proizvode koji se isporučuju međunarodno, imajte na umu da garancija proizvođača možda neće biti važeća; opcije servisiranja proizvođača možda neće biti dostupne; priručnici za proizvode, uputstva i upozorenja o bezbednosti možda nisu na jezicima zemlje odredišta; proizvodi (i prateći materijali) ne moraju biti dizajnirani u skladu sa standardima zemlje odredišta, specifikacijama i zahtevima za označavanje; a proizvodi možda nisu u skladu sa naponom zemlje odredišta i drugim električnim standardima (zahteva se upotreba adaptera ili pretvarača ako je potrebno). Primalac je odgovoran za osiguranje da se proizvod može zakonito uvesti u odredišnu zemlju. Prilikom naručivanja od kompanije Ubuy ili njegovih podružnica, primalac je nadležni uvoznik i mora se pridržavati svih zakona i propisa zemlje odredišta.
- Nisu svi proizvodi navedeni na Ubuy-u na prodaju, jer je Ubuy globalni pretraživač. Proizvodi podležu izvoznim/trgovačkim propisima.
RSD 5484
Naručite sada i dobijte oko Petak, Oktobar 09
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.