Table of Contents Reasons why training loss does not decrease 1. The learning rate is too large or too small 2. Data preprocessing issues 3. Model complexity issue 4. Data set size issue 5. Parameter initialization problem Example: Application scenario of why training loss does not decrease in image classification tasks 1. Data preprocessing issues […]
Tag: reason
Linear regression predicts Boston housing prices & the reason for loss is NAN & draws a scatter plot to find the relationship between features and labels
Boston house price csv file Link: https://pan.baidu.com/s/1uz6oKs7IeEzHdJkfrpiayg?pwd=vufb Extraction code: vufb Code %matplotlib inline import random import torch import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch Get the data set from CSV # Load data, the first line is a useless line, skip it directly boston = pd.read_csv(‘../data/boston_house_prices.csv’,skiprows=[0]) # There […]
Reasons and solutions for GPU CUDA running speed not to increase but to decrease when using shared memory
I wrote several operators for adding two images and image filtering, respectively using shared memory for optimization. #include <stdio.h> #include <cuda_runtime.h> #include “helper_cuda.h” #include “helper_timer.h” #define BLOCKX 32 #define BLOCKY 32 #define BLOCK_SIZE 1024 #define PADDING 2 __global__ void filter5x5(float* in, float* out, int nW, int nH) {<!– –> // Thread index —> Global memory […]
How to make a reasonable login verification code in the project
Talk part Today we are going to talk about how to make a more reasonable login verification code in actual project operations. First, let’s talk about the following issues: 1. Is verification code verification necessary when logging in? The answer is of course necessary, because user login behavior will directly affect the database. If there […]
The reason why startActivity in the background of Service does not respond
The secret of why the page in the application does not respond when startActivity is enabled in the background of Service question analyze Solution Question When I start a service in the A application and open a thread in the service, when we manually slide to kill the APP, the service is still alive. We […]
Detailed restoration of one of the reasons why Elasticsearch cluster sharding appears unassigned
Personal homepage: IT Pindao_Big data OLAP system technology stack, Apache Doris, Clickhouse technology-CSDN blog Private chat with bloggers: Join the big data technology discussion group chat to get more big data information. Blogger’s personal B stack address: Brother Bao teaches you about big data’s personal space – Brother Bao teaches you about big data personal […]
The reason why the ROS car does not start when it is powered on
Article directory Preface 1. ESC 2. Initial speed of the car 1.racecar_teleop.py 2. Initial speed and steering Summarize Foreword Recently, I have been learning ROS smart cars and encountered many problems. I will write a blog to record the mistakes and help others to get started better. 1. ESC The ESC of the ROS smart […]
QT program runs slower than python PyQt5? , or the reason is QT Creator
This is a thread that pastes data into QPlainTextEdit Prepare data: 7+ million characters python code import time from PyQt5.QtCore import pyqtSignal, QMutex, QThread from collections import defaultdict from typing import Union from re import findall, sub from PublicSourceSection.PublicRecordLogger.Logger import LoggerRecord class ToolsStickForData(QThread): stick_process = pyqtSignal(int) stick_value = pyqtSignal(str) stick_state = pyqtSignal(bool) stick_mutex = QMutex() […]
Reasons why kafka loses data
Directory background kafkaClient code Possible reasons for message loss `broker is down` `RD_KAFKA_MSG_SIZE_TOO_LARGE` Partition problem The processing capabilities of Kafka Broker cannot keep up, and the following situations may occur: Some basic knowledge supplement Background The client used is librdkafka. When the data is sent by the producerClient, it is found that the data is […]
CUDA Programming (9) Reasonable use of atomic functions
Functions that implement atomic operations are referred to as atomic functions. In CUDA, an atomic operation of one thread can complete a set of “read-modify-write” operations on a certain data (in global memory or shared memory) without being affected by any operations of other threads. This set of operations can also be said to be […]