PAN - Neural Networks 1

For decades, classical computers have powered our world: Solving equations, cracking codes, and, let's be honest, fueling an endless stream of cat videos. But now, quantum computing is about to flip……続きを見る

大数据领域的人工智能技术Key Features先讲大数据的本体论、机器学习的基本理论，为具体场景、算法的实践奠定基础在对机器学习的介绍中，对其数学原理、训练过程做基本的讲解，并辅以代码帮助读者了解真实场景中技……続きを見る

使用TensorFlow和Keras实现高级深度学习和神经网络模型Key Features快速掌握知识点用实操夯实迁移学习理论掌握实用技能Book Description迁移学习是机器学习技术的一种，它可以从一系列机器学习问题的训练中获得知……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

The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of electronic components have led to the monumental rise of volumetric heat generation……続きを見る

Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources ……続きを見る

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem Key Features Build deep learning models with transfer learning p……続きを見る

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn Key Features Build a variety of Hidden Markov Models (HMM) Create and apply models t……続きを見る

Build next-generation Artificial Intelligence systems with Java About This Book • Implement AI techniques to build smart applications using Deeplearning4j • Perform big data analytics to derive qual……続きを見る