Bienvenue chez nous !
Logo Ex Libris
 Laissez-vous inspirer ! 

Neural Network Projects with Python

  • eBook (pdf)
  • 308 Nombre de pages
(0) Donner la première évaluation
Évaluations
(0)
(0)
(0)
(0)
(0)
Afficher toutes les évaluations
Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in PythonK... Lire la suite
Lisez confortablement vos ebooks dans l’appli gratuite Ex Libris Reader. Vous obtiendrez ici votre lien de téléchargement.
CHF 46.90
Download est disponible immédiatement
Informations sur les eBooks
Les eBooks conviennent également aux appareils mobiles (voir les instructions).
Les eBooks d'Ex Libris sont protégés contre la copie par ADOBE DRM: apprenez-en plus.
Pour plus d'informations, cliquez ici.

Description

Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in PythonKey FeaturesDiscover neural network architectures (like CNN and LSTM) that are driving recent advancements in AIBuild expert neural networks in Python using popular libraries such as KerasIncludes projects such as object detection, face identification, sentiment analysis, and moreBook DescriptionNeural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them.It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch.By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.What you will learnLearn various neural network architectures and its advancements in AIMaster deep learning in Python by building and training neural networkMaster neural networks for regression and classificationDiscover convolutional neural networks for image recognitionLearn sentiment analysis on textual data using Long Short-Term MemoryBuild and train a highly accurate facial recognition security systemWho this book is forThis book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks.

Informations sur le produit

Titre: Neural Network Projects with Python
Sous-titre: The ultimate guide to using Python to explore the true power of neural networks through six projects
Auteur:
Code EAN: 9781789133318
Protection contre la copie numérique: Adobe DRM
Format: eBook (pdf)
Producteur: Packt Publishing
Genre: Autres
nombre de pages: 308
Parution: 28.02.2019