ERROR: *** is not a supported wheel on this platform

Problem analysis: Error installing whl from pip: ERROR: *** is not a supported wheel on this platform This is because pip will verify whether it is suitable for the current environment according to the name of whl. Two situations may lead to this error: 1. Environment adaptation, but the verification fails due to the self modified naming of ...

Posted by freeme on Sun, 21 Nov 2021 23:32:51 -0800

Read the python Chatbot tutorial code step by step

Readme I'm a programming Xiaobai. Although the registration time is long, I'm not engaged in coding. I began to teach myself Python in order to learn AI. I usually knock the code according to the book, but I don't have a deep understanding. Now I want to study chatbot and find that my coding level needs to be strengthened, so I open this s ...

Posted by Lefu on Sun, 21 Nov 2021 02:40:13 -0800

TensorFlow by Google over fitting optimization Machine Learning Foundations: Ep #7 - Image augmentation and overfitting

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

PyTorch deep learning practice lesson 11 convolutional neural network (advanced part) perception module handwritten numeral recognition

  Video link: The final collection of PyTorch deep learning practice_ Beep beep beep_ bilibili This secondary implementation is a more complex neural network. Although the model looks very complex, in order to reduce code redundancy and improve code reusability, we can define the neural network with the same structure as a class to improv ...

Posted by elpaisa on Sat, 20 Nov 2021 13:12:27 -0800

cmake uses tutorial cpack to generate the installation package, with super full tutorial documents

This series of articles is translated from the official cmake tutorial: [cmake tutorial]( ). Sample program address: [github.com/rangaofei/t...]( ) I won't just stay in the official tutorial. As an Android Developer, I really don't have linux c program development experience. I hope the big guys will forgive me. The tutorial is completed u ...

Posted by GiaTuan on Sat, 20 Nov 2021 09:28:28 -0800

Pytoch learning notes (10) -- train and test CNN network

This chapter will train a simple CNN network on CIFAR10 dataset: A simple CNN network is trained based on CIFAR-10 data set.Save the trained model and test it.Train with GPU. CIFAR dataset CIFAR data sets can be divided into CIFAR10 and CIFAR100. CIFAR-10 includes 10 categories and CIFAR-100 includes 100 categories. CIFAR-10 Features: 32x3 ...

Posted by delboy1978uk on Sat, 20 Nov 2021 01:52:01 -0800

shuffleNet-V1 paper reading and code implementation

preface shufflenetV1 is another direction of the development of convolutional neural network to lightweight, which is the lightweight network following Mobilenet. 1, Paper reading summary Paper address Tricks: application of group revolution on 1 * 1 convolution; channel shuffle improves information transmission between channels ...

Posted by tomsasse on Fri, 19 Nov 2021 03:42:54 -0800

[learning deep learning compiler from scratch] XV. Lowering to LLVM IR in learning notes of MLIR Toy Tutorials

0x0. Preface In the previous section, we transferred the Operation lowing of Toy Dialect to after dialect, MemRef Dialect and Standard Dialect, while the toy.print Operation remains unchanged, so it is also called partial lowing. Through this lowing, the lower level implementation logic of Toy Dialect's Operation can be expressed to seek more ...

Posted by WesPear on Wed, 17 Nov 2021 08:19:48 -0800

[neural network] weight decay

Weight attenuation In the previous section, we observed the over fitting phenomenon, that is, the training error of the model is much smaller than its error on the test set. Although increasing the training data set may reduce over fitting, it is often expensive to obtain additional training data. This section describes a common method to ...

Posted by kark_1999 on Wed, 17 Nov 2021 06:27:12 -0800

Implementation of pytorch in U-Net

brief introduction Please click here to view the U-Net paper . U-Net was originally used for cell recognition. For a small amount of training data, the author achieved good results and won the championship through data enhancement. After modification, U-Net can also be used for other purposes. The author of the U-Net paper has provided the ve ...

Posted by maxic0 on Tue, 16 Nov 2021 16:33:51 -0800