as shown in the picture, I don t understand how the two steps are equal, and how does the formula indicated by the first arrow be calculated to the formula indicated by the second arrow? ...
the source of the problem: now both in the book and online are to divide a bunch of data sets with known prediction results into test sets and training sets, and then look at the accuracy between the prediction results and the real value, and report wha...
use pandas s read_csv to read a dataset import pandas as pd dfoff = pd.read_csv (xxx.csv , keep_default_na=False) pd.set_option ( display.max_columns , None) print (dfoff.head (3)) found that he has 6 columns of data User_id print(dfof...
problem description Hello everyone, I use tensorflow+yolov3 for target recognition, batch_size=32,random=0 (no multi-angle training), 5000 rounds of training, the loss value is about 4.1. on this basis, I set random=1, which is also in the case of 50...
< H2 > background < H2 > I am a beginner in machine learning and complete a target recognition project at the request of the company. I learned a lot of mathematical knowledge in the early stage. I understand that the role of mathematical knowledge ...
problem description recently, using TensorFlow training samples, the neural network chooses that the yolov3,loss value has been maintained at about 8, and there is no global convergence, and the final recognition rate is not high. the environmental ...
use the sklearn library to solve a natural language processing problem. Comments are used to predict emotional tendencies (- 1) and themes. There are two classification problems. ...
import tensorflow as tf import numpy as np x_data=np.float32(np.random.rand(2,100)) y_data=np.dot([0.100,0.200],x_data)+0.300 b = tf.Variable(tf.zeros([1])) W = tf.Variable(tf.random_uniform([1, 2], -1.0, 1.0)) y=tf.matmul(W,x_data)+b loss=tf.reduce_mea...
how does keras create its own dataset, which can be directly used by "load_data " like mnist? (x_train, y_train),(x_test, y_test) = mnist.load_data() ...
ask for BreAst Cancer Histology image data of group An in the competition, 400pieces of breast cancer pathological section images marked ...
I have a need: to determine whether the profile file uploaded by a user is a face photo. At present, I intend to do this: collect hundreds of face photos as one category, and hundreds of any pictures as another category, and then predict_proba returns th...
when uploading an image, users need to determine whether the picture belongs to a certain type of image, such as an airplane. the example I found is an image classifier, such as training three classified airplanes, cars, and motorcycles, and then uploa...
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The subject owner hopes to train a model. By tagging this article with some key phrases extracted from an English article, is there any good machine learning method or paper that explains how to label the key phrase to the subject word ?....
it seems to say on the Internet that accuracy in TF is calculated according to batch_size (denominator batch_size). Why is it that when batch_size = 4 is set, the output accuracy of each batch_size after updating the model parameters is not one of 0meme ...
currently only know the scan line algorithm (that is, the up and down, left and right scan), but the effect is not very ideal. I don t know if there are any other good algorithms. ...
background: 1. Take pictures of the intact circuit board and save the photos to the database 2. Take a picture of the circuit board that needs to be tested, and compare it with the intact circuit board photos in the database 3. Mark different plac...
such as the title. what I m doing is language classification of picture text the following figure shows the results of my experiment I would like to ask what measures can be taken to further improve accuracy? ...
1, max is linear in the range greater than 0, can it still play the role of adding non-linear elements? 2. Why is leaky ReLU not more common than ReLu as an advanced version of ReLU? ...
what is the meaning of the "training algorithm " in the figure below? For example, the KNN algorithm mentioned below is not a function, something determined by routines? Why train? ...