python learning notes (2): numpy Foundation

Counter function can count the number of data in the list Most common (10) can extract the top ten bits from collections import Counter a = ['q','q','w','w','w'] count = Counter(a) count.most_common(1) [('w', 3)] count Counter({'q': 2, 'w': 3}) The series object in panda has a value "counts method to count The. fillna() function can rep ...

Posted on Tue, 31 Mar 2020 16:48:30 -0700 by ChrisF79

Python programming method

Python programming ideas 1. Top down design 2. Bottom up execution For example: sports competition code 1. Top down design #Games.py from random import random def printIntro(): print("Simulate two players A and B Some kind of competitive game") print("Required for program operation A and B Capability val ...

Posted on Mon, 30 Mar 2020 23:12:39 -0700 by valoukh

How to use GAN to color Pokemon

In the previous Demo, we used the conditional GAN to generate a handwritten digital image. So what else can we do with neural networks besides generating digital images? In this case, we use neural network to color the wireframe of Pokemon. Step 1: import and use the library from __future__ import absolute_import, division, print_function, uni ...

Posted on Thu, 12 Mar 2020 20:37:02 -0700 by tkmk

Tutorial of PyTorch generation countermeasure network (DCGAN)

To read the illustrated tutorial, go to http://studyai.com/pytorch-1.4/beginner/dcgan_faces_tutorial.html This tutorial introduces DCGANs with an example. We will train a general adversarial network (GAN) to generate new celebrities after showing it many photos of celebrities. Most of the code here comes from the implementation of Python / exam ...

Posted on Wed, 11 Mar 2020 04:32:32 -0700 by atulkul

[machine learning] naive Bayesian text classification

Naive Bayes 1. Introduction to naive Bayesian algorithm Naive Bayes is a classification algorithm based on Bayes. Naive Bayes classification algorithm calculates the prior probability of the target object, uses Bayes theorem to calculate the posterior probability, and then compares the posterior prob ...

Posted on Tue, 03 Mar 2020 19:33:38 -0800 by gukii

Python drawing normal curve: linespace combination Matplotlib (put into self write library, one line of code to realize complex drawing)

                    . Not much to say, given mu and sigma, a line of code to achieve complex drawing, all kinds of details of configuration are in silence. PS: the specific usage of this figure is shown ...

Posted on Sun, 23 Feb 2020 04:29:52 -0800 by mega77

Python self study notes - Chapter 3 control structure and exceptions

1. Control structure Python implements conditional branching through if statement and loop through while statement and for...in statement. There are other conditional expressions, like the ternary operators in Java or C. 1.1. Conditional branch The most common syntax for Python conditional branch statements: if boolean_expression1: suite1 e ...

Posted on Mon, 17 Feb 2020 00:32:07 -0800 by lhaynes

Linear Regression &Softmax classification model & multi-layer perceptron

Linear regression after class questions Full connection layer and I / O shape If you are implementing a fully connected layer, the input shape of the fully connected layer is 7 × 8, and the output shape is 7 × 1, where 7 is the batch size, then the shape of the weight parameter w and th ...

Posted on Fri, 14 Feb 2020 07:45:51 -0800 by David-fethiye

Two solutions to over fitting

This paper mainly studies the book of dive into DL pytorch. So most of the content of this blog comes from this book. The framework uses pytorch, and the development tool is pycharm Refer to hands-on deep learning Reference link https://github.com/ShusenTang/Dive-into-DL-PyTorchhttps://github.com/zergta ...

Posted on Wed, 12 Feb 2020 04:41:51 -0800 by baw

Notes on knowledge points of softmax regression

The basic concept of softmax Softmax regression, like linear regression, is also a single-layer neural network. The output layer of softmax regression is also a full connection layer. The classification problem needs to get discrete prediction output. A simple way is to output the valueAs the predi ...

Posted on Tue, 11 Feb 2020 22:14:50 -0800 by mickey9801