Medical image | breast cancer classification using deep learning (with python drill)
Welcome to the course python machine learning - breast cancer cell mining to teach you how to establish a cell model for diagnosis and prediction of breast cancer. The link address is
python machine learning - breast cancer cell mining (recorded by bloggers)
Tencent classroom registration address
Netease cloud classroom registration address
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Posted by gazoo on Tue, 26 Apr 2022 16:20:05 +0300
docker usage notes
docker usage notes
This article is original by the author. Please indicate the source for Reprint: https://www.cnblogs.com/leisure_chn/p/14349287.html
This article is original by the author. Please indicate the source for Reprint: https://www.cnblogs.com/leisure_chn/p/14349287.html
Description of symbols used in this paper:
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<c ...
Posted by crash4o4 on Tue, 26 Apr 2022 11:49:30 +0300
[source code analysis] TensorFlow distributed MirroredStrategy distribution calculation
[source code analysis] TensorFlow distributed MirroredStrategy distribution calculation
In the previous article, we analyzed the basic architecture of MirroredStrategy and how to update variables. In this article, we'll see how MirroredStrategy works. Specifically, we want to know how MirroredStrategy runs training methods on remote device ...
Posted by t3l on Tue, 26 Apr 2022 03:18:24 +0300
tensorflow learning 5 -- CNN image classification
This code is the source code in the following blog post. Indeed, it can be used without brain replication
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Flatten,Conv2D,MaxPool2D
from tensorflow.keras.datasets import mnist
#### read and preprocess data
(x_train,y_train),(x_test,y ...
Posted by salman_ahad@yahoo.com on Mon, 25 Apr 2022 11:54:46 +0300
Machine learning classifier case (opencv sklearn svm ann)
Machine learning classifier case (opencv sklearn svm ann python)
ps: Recently, elder martial sister left us a task to record what we have learned from doing the task since we didn't understand anything at the beginning....
Language environment Python 3 7. Library used
import os
import cv2
import math
import time
import numpy as np
import tqdm
f ...
Posted by miro on Mon, 25 Apr 2022 05:07:37 +0300
A practical tutorial on the attention mechanism of image title generation in Python
[translated from: A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python]
[Note: analyticsvidhya likes the articles here very much, so I will do some translation and learning practice in my spare time. Here is the practice record of the corresponding work, hoping to help people in need!]
Overview
Understand t ...
Posted by yoost on Mon, 25 Apr 2022 00:53:19 +0300
Clustering algorithm -- k-means algorithm
Learning objectives:
clustering algorithm
Learning content:
k-means algorithm
Learning records:
Clustering algorithms mainly include: (1) Partition clustering. Most of them are distance based clustering algorithms. There are k-means,k-medoids,CLARANS (2) Hierarchical clustering. It is to decompose hierarchically until certain con ...
Posted by RDKL PerFecT on Sat, 23 Apr 2022 19:20:35 +0300
C + + uses opencv to call cascade classifier to identify target objects
Using compiler: Qt Creator 4.2.1
preface:
Compared with the frame difference method to capture the target object recognition, the cascade classifier recognition of the target object is more targeted. Using the former, as long as the moving object will be captured and recognized, and if there is a little trouble in the picture, it will be capt ...
Posted by bobvaz on Sat, 23 Apr 2022 10:13:22 +0300
Machine learning practice 3.1 NIST dataset & 3.2 training binary classifier
3.1 mnist
The following is the code for obtaining MNIST dataset:
from sklearn.datasets import fetch_openml
# Start with scikit learn 0.24, fetch_openml() returns Pandas DataFrame by default.
# To avoid this and keep the same code as in the book, we use as_frame=False.
# If the download fails, you can try several more times. The first time w ...
Posted by theBond on Sat, 23 Apr 2022 08:42:50 +0300
sklearn quick start Tutorial 4 Model evaluation
sklearn quick start tutorial
1. How does the model work2. Basic data exploration3. Your first machine learning model4. Model evaluation5. Under fitting and over fitting6. Random forest7. Machine learning competition
Measure the performance of the model to test and compare alternatives.
You have now built a model. I don't know how ...
Posted by thefortrees on Sat, 23 Apr 2022 04:59:42 +0300