Hengyuan cloud_ CIFAR-10 dataset practice: building ResNet18 neural network
Article source| Hengyuan cloud communityOriginal address| Dataset practiceOriginal author | MathorTo tell you the truth, Xiaobian, I admire Mathor, the big man in the platform community! No, today I'll share with you the notes of the big man's paper. Let's see if the next content has the knowledge you need!Start of text:If you don't know ResNet ...
Added by shaoen01 on Fri, 03 Dec 2021 05:11:48 +0200
[deep learning practice 2]: cifar10 image classification based on Keras (very detailed, open source code)
deep learning "hello world“( [deep learning practice 1]: handwritten numeral recognition based on Keras (very detailed, open source code) )It has been updated. If you can recognize handwritten digits, it means that one foot has stepped into the door of deep learning!
today, the blogger brings the second practical conte ...
Added by samohtwerdna on Mon, 29 Nov 2021 10:05:36 +0200
Feature processing of individual loan default prediction competition in CCF big data and computational intelligence competition
Game address portal:
CCF big data and computing intelligence competition
First read the data
import matplotlib.pyplot as plt
import seaborn as sns
import gc
import re
import pandas as pd
import lightgbm as lgb
import numpy as np
from sklearn.metrics import roc_auc_score, precision_recall_curve, roc_curve, average_precision_score
from sklearn ...
Added by genesysmedia on Sun, 28 Nov 2021 08:15:17 +0200
Detailed explanation of os module of python
os module details
When looking at the great gods' code, you can often see the figure of the os module, and then want to make a summary for later viewing The following figure refers to CSDN blogger's "beauty of data analysis and statistics". Thank you very much for the picture Let's introduce the usage of each one in detail: (1) os.g ...
Added by ex247 on Fri, 26 Nov 2021 18:38:29 +0200
Introduction to pytorch
Introduction to pytorch
The article is only used to record your own learning. If there is infringement, delete it immediately
Some good websites
https://github.com/jcjohnson/pytorch-examples Some small projects of pytorch
https://pytorch.org/tutorials/ pytorch official tutorial
Fastai
Michael Nielsen's "Neural Network and Deep Learn ...
Added by bosco500 on Fri, 26 Nov 2021 15:54:41 +0200
Follow Li Mu to learn AI for the purpose of small paper
Learn about data preprocessing
d2l.DATA_HUB['fra-eng'] = (d2l.DATA_URL + 'fra-eng.zip',
'94646ad1522d915e7b0f9296181140edcf86a4f5')
#@save
def read_data_nmt():
"""Load English-French dataset."""
data_dir = d2l.download_extract('fra-eng')
with open(os.path.join(data_dir, 'fra.txt'), 'r',
enc ...
Added by tekparasite on Sun, 21 Nov 2021 06:13:13 +0200
Training st GCN network process records with self built kinetic skeleton behavior recognition data set
0. Preparation
First of all, the operating environment of St GCN network is completely configured, and behavior recognition can be carried out normally
Configuration environment reference:
1. Reproduce the old STGCN GPU Version (win10+openpose1.5.0)
2. Reproduce st GCN (win10 + openpose1.5.1 + vs2017 + cuda10 + cudnn7.6.4)
For preparin ...
Added by styler1971 on Sun, 21 Nov 2021 03:15:55 +0200
[NLP] Intelligent Question Answering System
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 ...
Added by Muses on Thu, 18 Nov 2021 15:03:00 +0200
Introduction and practice of xgboost
reference resources: Finally write the summary of XGBoost! XGBoost of machine learning algorithm and its automatic parameter adjustment reference resources: How does xgboost handle missing values
[fundamentals of machine learning] comparison and parameter adjustment of XGBoost, LightGBM and CatBoost algorithms
introduce
In 2016, an extensibl ...
Added by tommy445 on Wed, 17 Nov 2021 07:19:30 +0200
Introduction to deep learning series 20: LSTM recurrent neural network to solve the problem of international air passenger prediction
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 ...
Added by LTJason on Wed, 17 Nov 2021 05:13:51 +0200