SoC FPGA plus accsytem plus neural network operator: BMP version of license plate recognition

1, Development tools Quartus prime 18.1 As one of the necessary software for building HLS experimental environment, it is verified that quartus prime versions 17.1 and 18.1 can support HLS development. The software can be directly downloaded after registering on the Intel official website and UTF-8...

Posted by tkmk on Wed, 20 Oct 2021 08:34:22 +0530

Image classification of deep learning -- a detailed explanation of hiremlp network

Deep learning image classification (30) detailed explanation of hiremlp network I've learned 30 networks in a flash. Time flies. In this study, the hire MLP proposed by Huawei still aligns the features at different positions to the same channel by rotating the feature map, so as to realize the UTF-8...

Posted by adamlacombe on Thu, 21 Oct 2021 01:11:48 +0530

Computer vision: 2.3.1 optimization of weight matrix by gradient descent method

2, Optimization method and regularization method "Nearly all of deep learning is powered by one import algorithm :Stochastic Gradient Descent(SGD)" —Goodfellow et al. ·Almost all deep learning is driven by an important algorithm: random gradient descent algorithm. We now know that to get a highUTF-8...

Posted by PeterPopper on Thu, 21 Oct 2021 02:26:49 +0530

Construction of submersible pump anomaly detection system based on Pytorch

Construction of submersible pump anomaly detection system based on visual recognition [!] original content derived from my elective course report in Python and raspberry pie #Personal introduction I am a student majoring in automation. This major will inevitably be exposed to the design of variUTF-8...

Posted by mrodrigues on Thu, 21 Oct 2021 09:20:16 +0530

[PyTorch basic tutorial 13] Google net and ResNet

Learning experience (1) In order to solve the problem of huge parameters of neural network with the increase of layers, Google net uses 1 × 1 convolution kernel, which is processed by several different convolution kernels, and multiple identical modules are encapsulated with concept class; AnotUTF-8...

Posted by kuliksco on Thu, 21 Oct 2021 19:02:43 +0530

[learning notes 2] deep learning framework TensorFlow and MNIST application

1, TensorFlow framework introduction 1.TensorFlow input tensor TensorFlow, Tensor represents N-dimensional array, and Flow represents calculation based on data Flow graph. I use MNIST machine learning to explain the predictive digital model. First, there is a MNIST data set. Each MNIST data uniUTF-8...

Posted by jenreb1 on Sun, 24 Oct 2021 13:05:53 +0530

[note] network structure in pytorch: a Net, that is, a class inherited from nn.Module, essentially maintains 8 dictionaries (OrderedDict) after instantiation

In the PyTroch framework, if you want to customize a Net (network, or model. In this article, model and Net have the same meaning), you usually need to inherit from nn.Module and then implement your own layer. For example, in the following example, gemfield (tiande also contributes) implementsUTF-8...

Posted by Jip on Mon, 25 Oct 2021 00:05:26 +0530

PaddleOCR text detection part of the source code learning

2021SC@SDUSC Code location: Tools - > infer - > predict_ det.py class TextDetector(object): def __init__(self, args): self.args = args self.det_algorithm = args.det_algorithm pre_process_list = [{ 'DetResizeForTest': { 'limit_side_len': args.det_limit_side_len, 'limit_type': args.det_limit_typeUTF-8...

Posted by bawla on Mon, 25 Oct 2021 00:51:43 +0530

2 - calculation diagram, loss function and optimizer

Module class nn.Module in pytoch Implementation of a simple linear regression class based on module class import torch import torch.nn as nn class LinearModel(nn.Module): """input x The dimension of is(1,ndim)""" def __init__(self,ndim): self.weights = nn.Parameter(torch.randn(ndim,1)) self.biUTF-8...

Posted by scialom on Mon, 25 Oct 2021 19:22:02 +0530

Natural language processing (NLP) - common skills of model: Mask [Padding Mask, subsequence mask]

For the role of Mask in NLP (ps: padding mask and subsequence Mask are not official names): Padding mask: handle non fixed length sequences and distinguish padding and non padding parts, such as applications in RNN and other models and Attention mechanismsSubsequence Mask: prevent label leakageUTF-8...

Posted by westexasman on Mon, 25 Oct 2021 19:50:46 +0530