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1. Introduction to Q & a system Q & a system is usually divided into: Task robotChat robotSolution robot (customer service robot) The three are designed for different application scenarios: Task based robots are mainly used to complete some specific tasks of users, such as buying air tickets, phone recharge or weather consultati ...

Hello, my technician Howzit, this is the 20th part of the introduction series of in-depth learning. Welcome to communicate with us! Introduction to deep learning series 1: overview of multi-layer perceptron Introduction to deep learning series 2: build your first neural network with TensorFlow Introduction to deep learning series 3: performanc ...

Abstract: This paper mainly realizes a case of classification learning through Keras, and introduces MNIST handwriting recognition data set in detail. This article is shared from Huawei cloud community< [Python artificial intelligence] XVII. Case study of Keras building classification neural network and MNIST digital image >, by eastmo ...

Original link: http://tecdat.cn/?p=19936 Original source: Tuo end data tribal official accountIn this tutorial, you will learn how to create a neural network model in R.Neural network (or artificial neural network) has the ability to learn through samples. Artificial neural network is an information processing model inspired by biological neuro ...

The words written in the front      This year's video game is finally over. Many friends around have chosen the topic of drug delivery car. At the beginning, they may think it's simple. Tracking car + digital recognition can be done. At the beginning, many friends considered using OpenMv as a digital recognition platfor ...

PointNet + + needs to restore the down sampled points to the same number of points as the input when processing the segmentation task, so as to facilitate the prediction of each point. But in the paper, I only give a simple description and formula, which is not very easy to understand, so I record my understanding process here. 1. Purpose of F ...

Introduction to basic concepts Artificial intelligence: simple understanding is to make machines have human thinking and consciousness Three schools of artificial intelligence: Behaviorism: constructing perception control system based on CyberneticsSymbolism: Based on arithmetic logic expression, to solve a problem, first describe the pro ...

1 image noise    noise generation: some pixels in the middle of the image suddenly change, resulting in disharmony with the surrounding pixels   denoising: replace disharmonious points with harmonious points. Homogenize the change of gray value.    denoising method:    (1) convolution based methods: Gauss ...

1, Background   in the Encoder part of so net classification model, first_ After pointnet gives the eigenvector, there is an operation to find the index: M = node.size()[2] with torch.cuda.device(self.first_pn_out.get_device()): gather_index = index_max.forward_cuda(self.first_pn_out.detach(), ...

Tmall elf open experimental platform - creating voice skills 1, Create voice skills Reference link: Document Center Alibaba cloud - cloud development platform (aliyun.com) 1. Input Tmall elf open platform Homepage Enter the experimental platform. Select "skill application platform". (or input directly) https://iap.aligenie.co ...