Hands on learning and deep learning - Tensorflow data operation

import tensorflow as tf tf.__version__ '2.3.0' 1. Create tensor Tensor is the main tool for storing and transforming data. The multidimensional arrays of tensor and Numpy are similar, but tensor can provide functions such as GPU calculation and automatic gradient calculation # Create row vector x = tf.constant(range(12)) x <tf.Tenso ...

Posted by ukalpa on Wed, 15 Dec 2021 00:00:42 +0100

Interpretability research - internal implementation of gnnexpianer

I mentioned it before GNNExplainer But a lot of formulas in the paper are difficult to touch, so I went to GitHub to find some implementations of gnnexpianer DIGIVDetect Gnnexpianer will interpret the diagram from two perspectives: Edge: an edge mask will be generated, which represents the probability of each edge in the graph, and the v ...

Posted by ramli on Tue, 14 Dec 2021 22:48:50 +0100

Introduction to deep learning series 11: reducing over fitting with Dropout regularization

Hello, my technician Howzit, this is the eleventh part of the introduction series of in-depth learning. Welcome to communicate together! 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: perfo ...

Posted by wild_dog on Tue, 14 Dec 2021 22:25:22 +0100

EfficientNet learning notes

EfficientNet learning notes 1. Thesis ideas In some previous papers, some will improve the performance of the network by increasing the width of the network, that is, increasing the number of convolution cores (increasing the channels of the characteristic matrix), as shown in figure (b), and some will improve the performance of the network b ...

Posted by ohdang888 on Mon, 13 Dec 2021 15:47:54 +0100

Computer vision --- image classification practice + theoretical explanation

Depth residual network Innovation of deep residual network? Based on the ultra deep network structure, the Residule structure is proposedBatch Normalization is used to make our batch feature map the same dimension, It meets the distribution law with mean value of 0 and variance of 1..1X1 dimension lifting structure is added to the residual bl ...

Posted by werkkrew on Mon, 13 Dec 2021 10:39:36 +0100

Hengyuan cloud_ Geometric changes in CV field

Article source| Hengyuan cloud communityOriginal address| Geometric changeOriginal author | inster1 image zoomZoom is to adjust the size of the image, even if the image is enlarged or reduced.APIcv2.resize(src,dsize,fx=0,fy=0,interpolation=cv2.INTER_LINEAR)Parameters:src: input imagedsize: absolute size, which directly specifies the size of the ...

Posted by yakabod on Mon, 13 Dec 2021 09:46:30 +0100

Set up YOLOX environment and train your own data set under Windows 10

catalog: 1. Necessary environment 2.YOLOX installation and model reasoning 3. Train your data set and test 1. Necessary environment My environment is: Windows 10 + Python 3 9+CUDA11. 1+CUDNN8. one point one There are many tutorials on the Internet. This article mainly records the use of YOLOX. (there is a small pit in the installation of ...

Posted by jeffwhite on Sun, 12 Dec 2021 11:21:44 +0100

Paddegan SOTA algorithm: detailed explanation and application of video super division model PP-MSVSR

🔥PaddleGAN Release the latest SOTA algorithm: Video super-resolution model PP-MSVSR Baidu self-developed PP-MSVSR It is a multi-stage lightweight video hyper segmentation model, which achieves SOTA performance in the current lightweight video hyper segmentation model with a parameter of 1.45M. The figure shows the comparison of PSNR index of ...

Posted by Fitzlegend on Sun, 12 Dec 2021 05:49:01 +0100

[CS224n](task3)Dependency Parsing

1, Retrospective dependency parsing Many problems can be transformed into classification problems. The dependency parser based on transfer is transformed from the problem of prediction tree structure to the problem of prediction action sequence. There is one way: Coding end: used to calculate the hidden layer vector representation of words De ...

Posted by findshorty on Sat, 11 Dec 2021 05:22:06 +0100

Learn the essays of TensrFlow 2 (update from time to time and learn from each other)

Data cleaning Images made by yourself are prone to bad data (such as grayscale images, for example, CV2 can't read data, and there is no shape). The following code is directly: import os import tensorflow as tf from PIL import Image import matplotlib.pyplot as plt import numpy as np import cv2 import shutil from PIL import ImageFile Imag ...

Posted by choubix on Thu, 09 Dec 2021 01:14:48 +0100