## 7. Use Skills of BatchNormalization

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Previous
1. Install Tensorflow2.x (2.6) under Windows
2. Deep learning - reading data
3. Tensorflow Image Processing Budget
4. Tenorflow implementation of linear regression model
5. Deep Learning-Logistic Regression Model
6. AlexNet Implements Chinese Font Recognition--Bibliography and Rule Letters
7. Classification of Bird Database by VGG1 ...

Posted on *Sat, 04 Dec 2021 12:55:16 -0500* by **ivory_kitten**

## Deep learning | TensorFlow 2.x and 1.x limited video memory (super detailed)

Original statement
This article is original by HinGwenWoong. If this article is helpful to you, welcome to reprint it. Please read the [authorization instructions] at the end of the article. Thank you for your recognition of HinGwenWoong's article!
preface
When deploying the deep learning service, it is often not allowed to eat a who ...

Posted on *Tue, 30 Nov 2021 02:41:09 -0500* by **h123z**

## MVSNet code replication problem solved, cuBlas call failed status=13

brief introduction
This article documents some problems encountered in reproducing MVSNet.
It's reappeared recently MVSNet The code of is a 2018 paper, using the code of tensorflow GPU > = 1.5
cuda9.0 and cudnn7.0 are recommended in the source code. Therefore, according to the corresponding versions of tensorflow and cuda, only versions 1 ...

Posted on *Sat, 20 Nov 2021 20:34:08 -0500* by **burgessm**

## 3 asymptotic growth generation countermeasure network (PGGAN)

1. Import database
import tensorflow as tf
from tensorflow import keras as K
2. Asymptotic smooth growth of high-resolution layer (the first innovation)
In professional terms, the training process is developing from several low-resolution convolution layers to multiple high-resolution layers. First train the early ...

Posted on *Fri, 19 Nov 2021 05:49:35 -0500* by **jeffkee**

## [Neural Network and Deep Learning-TensorFlow Practice]-MOOC Course (Classification Questions) in University of China

11 Classification issues
11.1 Logistic Regression
11.1.1 Generalized Linear Regression
Course Review
Linear regression: The relationship between independent and dependent variables is represented by a linear model. Estimate future or unknown data based on known sample data
log-linear regression lny = wx+b that is, y=ewx+b Y= wx+b g(y) ...

Posted on *Fri, 12 Nov 2021 11:51:02 -0500* by **shiggins**

## Dataset and Iterator in Tensorflow data processing

Complete machine learning implementation code GitHubWelcome to reprint, please indicate the source https://www.cnblogs.com/huangyc/p/10339433.html
0. Contents
1. Preface2. Dataset principle
2.1 Dataset creation method2.2 transformation of dataset data3. Iterator principle
3.1 Iterator Init initialization3.2 Iterator get_next ...

Posted on *Fri, 12 Nov 2021 03:17:47 -0500* by **user___**

## Tensorflow notes -- building convolutional neural network

Convolution calculation process
Too many hidden layers and too many parameters to be trained may cause over fitting of the model. Convolution calculation can be used to extract image features, so as to avoid over fitting and improve the generalization ability of the model.
In convolution calculation, the depth of convolution kernel needs to m ...

Posted on *Wed, 10 Nov 2021 13:55:52 -0500* by **23style**

## [neural network and deep learning TensorFlow practice] - MOOC course of Chinese University (regression problem))

9 regression problem
9.1 fundamentals of machine learning
Course review
Fundamentals of Python languageNumpy / Matplotlib / pandas / pilot applicationTensorflow 2.0 low level API
About to learn
Machine learning, artificial neural network, deep learning, convolutional neural networkTensorflow 2.0 implementation of typical model
9.1.1 m ...

Posted on *Tue, 09 Nov 2021 23:15:08 -0500* by **marun**

## Multiple linear regression: TesnsorFlow practice of Boston house price prediction

Mu Ke: deep learning application development TensorFlow practice
Chapter 6: multiple linear regression: TesnsorFlow practice of Boston house price prediction
TensorFlow version 2.3
catalogueProblem introductionData set introductiondata processingdata fetchSeparating features and labelsDivide training set, verification set and test setBuild mod ...

Posted on *Wed, 03 Nov 2021 05:42:29 -0400* by **djtozz**

## About running DynaSLAM source code (OpenCV3.x version)

OK, here comes another source code operation record ←←
1, Basic environment
According to the author's source code Readme file, python 2.7 must be available. Later, I installed tensorflow in a virtual environment established by Anaconda. This record is for the version of OpenCV 3.x! For the revision of version 3.x, the fourth point ...

Posted on *Mon, 01 Nov 2021 12:40:42 -0400* by **activomate**