eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
157,83

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
DEEP LEARNING AND ITS APPLICATIONS USING PYTHON
This practical book gives a detailed description of deep learning models and their implementation using Python programming relating to computer vision, natural language processing, and other applications.
This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning. Readers/users will discover A precise description of deep learning history, fundamental concepts, and background information relating to deep learning; A detailed introduction to several concepts including tensorflow and keras, starting from the fundamentals to the application-based concept implementation using Python; Explanations of multilayer perceptron, convolutional neural network, recurrent neural network, and long short-term memory in terms of applications like chatbot, face detection and recognition; Advanced deep learning concepts along with their future research advancements; Assist in building the reader’s understanding through intuitive explanations and practical examples by exploring challenging concepts in the related applications of computer vision, natural language processing, and other models.
Audience
The book is ideal for computer science researchers, industry professionals, as well as postgraduate and undergraduate students who want to learn how to program deep learning models using Python.
Pages
256 pages
Collection
n.c
Parution
2023-09-27
Marque
Wiley-Scrivener
EAN papier
9781394166466
EAN PDF
9781394167784

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
15012 Ko
Prix
157,83 €
EAN EPUB
9781394167777

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
5366 Ko
Prix
157,83 €

Suggestions personnalisées