Tag：machine learning

Time：2020212
Neural network, supervised learning and indepth learning belong to the author’s deep learning specialization course notes series. This paper mainly describes the notes and code implementation of the author’s learning Andrew ng deep learning specialization series. Neural network, supervised learning and deep learning Deep learning is gradually changing the world, from traditional Internet businesses such […]

Time：2020211
Notes on Andrew ng deep learning: gradient descent and vectorization are subordinate to the author’s series of notes on deep learning specialization. This paper mainly describes the notes and code implementation of the author’s series of notes on Andrew ng deep learning specialization. Note that this article has a large number of mathematical symbols and […]

Time：202028
The input adopts placeholder, the model receives any length vector, calculates the total output of data flow graph over time, reasonably divides the data flow graph by name scope, saves the output, accumulation and mean value of data flow graph to disk every time. [none] for any length vector, [] for scalar. The update phase […]

Time：202026
reference: Mainly refer to this article general advertising networks, link For the convenience of explanation and research, I just designed a very simple model to generate Gaussian distribution samples. However, from the following experiments, I found some very useful features, which can deepen our understanding of Gan network. GAN principle The specific principle can refer […]

Time：202025
Neural style is a very interesting deep learning application: input a picture representing the content and a picture representing the style, and the deep learning network will output a new work integrating the style and content. Tensorflow is Google’s most popular open source deep learning framework. Author anishatalye uses tensorflow to implement the neural style […]

Time：202024
Tensorflow is a Python based machine learning framework. After learning the course content of logical regression on coursera, I want to re implement the content implemented in MATLAB with tensorflow, as a stepping stone for learning Python and framework. Target readers Know what logical regression is, know a little python, and have heard of tensorflow […]

Time：202023
K neighbor KNN algorithm can be said to be the simplest machine learning algorithm. It uses the mean value of the nearest point to predict. The input of knearest neighbor algorithm is the feature vector of the instance, which corresponds to the points in the feature space; the output is the category of the instance, […]

Time：202023
Summary This is the last article in a series of articles using machine learning to predict the average temperature. As the last article, I will use Google’s opensource machine learning framework tensorflow to build a neural network regression. For the introduction, installation and introduction of tensorflow, please Google yourself, and we will not talk about […]

Time：202022
In line formula cannot display reference: https://segmentfault.com/a/11 Introduction to decision tree This part briefly introduces the principle of decision tree and the call method of sklearn. If you need to know more about the algorithm of decision tree, you can see the principle of advanced algorithm. import pandas as pd import numpy as np import […]

Time：202021
Welcome to cloud + community to get more Tencent’s mass technology practice dry goods~ Download heatonjavascriptml.zip – 45.1 KB Basic introduction In this article, you will have a basic understanding of how to use JavaScript to implement machine learning. I will use the framework of encon (an advanced neural network and machine learning framework), and […]

Time：2020129
Question:When you run the keras library for the first time, you need to download vgg19 Downloading data from https://github.com/fchollet/deeplearningmodels/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5 And download slowly. So, how to solve it? resolvent: 1. Open vgg19 download address in browser 2. Copy to after downloading.keras\modelsDirectory. 3. After copying, run the program again, and you will find that you don’t need […]

Time：2020127
background In the previous article, we explained the implementation of Alibaba 99 promotion activity page content recognition technology in detail. We introduced how we used the algorithm model to identify and complete the automatic test in Taobao 99 promotion. Urgent sample problem Taobao has nearly one hundred modules and thousands of pages. There are similarities […]