Anaconda + pychar package is recommended.
This article describes how to install the pytorch and tensorflow frameworks
First of all, you should know which version of your graphics card driver is (take 1660S as an example)
1. Open the NVIDIA control panel, which can be opened by right clicking on the desktop or hiding the icon bar in the lower ...
Posted by poltort on Sun, 05 Dec 2021 01:46:12 -0800
Hello, everyone. Today, I'd like to share with you the derivation process of forward propagation in tensorflow 2.0 deep learning, using the mnist data set provided by the system.
1. Data acquisition
First, we import the required library files and datasets. The imported x and y data are array types and need to be converted to tensor type tf.co ...
Posted by djw821 on Sun, 05 Dec 2021 01:44:16 -0800
Magic Change Code
According to another article of mine: How to Beautify Photos, DPED Machine Learning Open Source Project Installation Use | Machine Learning_ Alan's Blog - CSDN Blog
The DPED project was found to require commanded execution and a ...
Posted by misteraven on Sat, 27 Nov 2021 09:49:27 -0800
The links included in the development and application of machine learning introduce the method and process of running machine learning based on Tensorflow framework on apache hadoop yarn (Introduction to the links involved in development and application of machine learning, and the method and process of running machine learning based on ...
Posted by dan182skater on Sun, 21 Nov 2021 19:55:32 -0800
1. Over fitting optimization, data enhancement, Cats v Dogs Augmentation
https://colab.research.google.com/github/lmoroney/dlaicourse/blob/master/Course%202%20-%20Part%204%20-%20Lesson%202%20-%20Notebook%20(Cats%20v%20Dogs%20Augmentation).ipynb Let's start with a very effective model for learning Cats v Dogs.
It's similar t ...
Posted by Lukey on Sat, 20 Nov 2021 20:48:06 -0800
The previous article talked about how to build our own network with keras, and explained some common parameters. This article will briefly introduce how to use the framework in the previous article to identify MNIST data sets.
MNIST dataset is already a "chewed" dataset. Many tutorials will "start" on it and almost become a ...
Posted by Soogn on Fri, 12 Nov 2021 14:24:51 -0800
Abstract: as an advanced package of neural network, Keras can quickly build neural network. It has very wide compatibility and is compatible with TensorFlow and Theano.
This article is shared from Huawei cloud community< [Python artificial intelligence] XVI. Keras environment construction, introduction foundation and case of recurrent neu ...
Posted by kwong on Wed, 10 Nov 2021 21:09:12 -0800
[artificial intelligence project] Fashion Mnist recognition experiment
This paper mainly carries out the recognition experiment of fashion mnist through four methods, mainly including word bag model, hog feature, mlp multilayer perceptron and cnn convolution neural network. Then don't say much, get up!!!
Fashion MNIST is an im ...
Posted by peter.t on Tue, 02 Nov 2021 04:03:47 -0700
Common methods to prevent over fitting of neural networks include:
1. Reduce network capacity; 2. Add weight regularization; 3. Add dropout; 4. Get more training data.
Overfitting and underfitting
Over fitting and under fitting
In order to prevent the model from learning wrong or irrelevant patterns from the training data, the best solution ...
Posted by updwebmaster on Mon, 01 Nov 2021 03:37:40 -0700
1. anaconda3 package download
1.1 windows Download
First download through windows, and then transfer to linux server through winscp and other software
Official website address: https://www.anaconda.com/products/individual
Tsinghua mirror address: https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
Anaconda corresponds to python vers ...
Posted by rossmurphy on Fri, 29 Oct 2021 01:42:59 -0700