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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 ...

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 ...

Catalog Preface Project Description Project structure Data preparation Magic Change Code summary Preface 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 ...

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 ...

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 ...

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 ...

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 ...

[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 Fashion MNIST is an im ...

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 ...

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 ...