Create end-to-end systems that can power robots with artificial vision and deep learning techniques
Key Features
Study ROS, the main development framework for robotics, in detail
Learn all about co……続きを見る
Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API.
Key Features
Solve complex machine learning proble……続きを見る
With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential for those interested in neuronal modeling and quantitative n……続きを見る
著者:Peter Morgan
出版社: AI Sciences Publishing
発売日: 2019年02月02日
***** BUY NOW (will soon return to 12.99$) *****
Are you thinking of learning data science from scratch using Python? (For Beginners)
If you are looking for a complete step-by-step guide to data sci……続きを見る
著者:Peter Morgan
出版社: AI Sciences Publishing
発売日: 2019年02月02日
**** ACHETER MAINTENANT (le prix reviendra bientôt à 13.98 euros) *****
Etes-vous un débutant en Data science et Avez-vous envie d’apprendre et de pratiquer le Data Science en utilisant Python ?
Si ……続きを見る
Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object detection in driver less cars, customer churn, and loan default pr……続きを見る
This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life com……続きを見る
Leverage the full potential of SAS to get unique, actionable insights from your data
Key Features
Build enterprise-class data solutions using SAS and become well-versed in SAS programming
Work with……続きを見る
Implement neural network architectures by building them from scratch for multiple real-world applications.
Key Features
From scratch, build multiple neural network architectures such as CNN, RNN, L……続きを見る
Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python
Key Features
Discover neural network architectures (like CNN and LS……続きを見る
著者:Mustafa B Babanli
出版社: World Scientific Publishing Company
発売日: 2019年03月04日
This unique compendium presents a comprehensive and self-contained theory of material development under imperfect information and its applications. The book describes new approaches to synthesis and……続きを見る
Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep learning models in your software appli……続きを見る
Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.
Key Features
Train your own models for effective prediction, using high-level Ke……続きを見る
Your one-stop guide to learning and implementing artificial neural networks with Keras effectively
Key Features
Design and create neural network architectures on different domains using Keras
Integ……続きを見る
Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow.
Key Features
Build machine learning apps on Amazon Web Services (AWS) using SageMa……続きを見る
著者:Daniel Graupe
出版社: World Scientific Publishing Company
発売日: 2019年03月15日
The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents th……続きを見る
著者:Marcus Du Sautoy
出版社: Harvard University Press
発売日: 2019年04月30日
“A brilliant travel guide to the coming world of AI.”
ーJeanette Winterson
What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative?
Math……続きを見る
Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural comp……続きを見る
Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries
Key Features
Your entry point into the world of artificial intelligence using the……続きを見る
Leverage the power of reward-based training for your deep learning models with Python
Key Features
Understand Q-learning algorithms to train neural networks using Markov Decision Process (MDP)
Stud……続きを見る
Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detection
Key Features
Explore the latest features and APIs in OpenCV 4 and build ……続きを見る
Understand how machine learning works and get hands-on experience of using R to build algorithms that can solve various real-world problems
Key Features
Gain a comprehensive overview of different m……続きを見る
Künstliche Intelligenz und maschinelles Lernen, neuronale Netzwerke und Deep Learning – nichts davon ist wirklich neu. Und doch ist die Zahl der Vorträge und Veröffentlichungen, der Onlinekurse und ……続きを見る
Explore the world of neural networks by building powerful deep learning models using the R ecosystem
Key Features
Get to grips with the fundamentals of deep learning and neural networks
Use R 3.5 a……続きを見る
Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languages
Key Features
Gain expertise in machine learning, deep learning and othe……続きを見る
Design and create neural networks with deep learning and artificial intelligence principles using OpenAI Gym, TensorFlow, and Keras
Key Features
Explore neural network architecture and understand h……続きを見る
This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exempli……続きを見る
Build and train scalable neural network models on various platforms by leveraging the power of Caffe2
Key Features
Migrate models trained with other deep learning frameworks on Caffe2
Integrate Caf……続きを見る
In today’s data-driven world, more sophisticated algorithms for data processing are in high demand, mainly when the data cannot be handled with the help of traditional techniques. Self-learning and ……続きを見る
著者:Moo K. Chung
出版社: Cambridge University Press
発売日: 2019年06月27日
This tutorial reference serves as a coherent overview of various statistical and mathematical approaches used in brain network analysis, where modeling the complex structures and functions of the hu……続きを見る