In this tutorial, I will review (1) neuroevolution methods that evolve fixed-topology networks, network topologies, and network construction processes, (2) ways of combining traditional neural network ...

Yann le Cun和 Yoshua Bengio于 1995 年推出卷积神经网络[ 1]，也称为卷积网络或 CNN。CNN 是一种特殊的多层神经网络[ 2]，以明显的网格状拓扑结构处理数据。它的网络基础基于一种叫做卷积的数学运算。从根本上说， 机器学习算法使用矩阵乘法，但相比之下，CNN 至少在 ...

We begin by talking about linear regression...the ancestor of neural nets. We look at how linear regression can use simple matrix operations to learn from data. We ...

深度神经网络(DNN)目前广泛应用于计算机视觉、语音识别和机器人等人工智能(AI)领域。虽然DNN在许多AI任务上提供了最先进的精确度，但它以高计算复杂度为代价。因此，对于DNN在AI系统中的广泛部署而言，实现DNN的有效处理以提高能源效率和吞吐量而又不牺牲 ...

There’s tinn — the tiny neural network. If you can compile 200 lines of standard C code with a C or C++ compiler, you are in business. There are no dependencies on other code. On the other ...

Abstract: Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media search, and even conversational systems that generate ...

Abstract: This chapter presents convolutional neural networks (CNNs) that are often classifiers, so a CNN can be classifying neural network. A CNN is an ANN that includes at least one convolutional ...

When it comes to tasks other than number crunching, the human brain possesses many advantages over a digital computer. We can quickly recognize a face, even when seen from the side in bad lighting ...