Image classification - cifar100 experimental research
In order to solve cifar100 val_ The problem of low ACC is essentially an over fitting problem, so I went to the papers with code website to see how much the cifar100 benchmark has achieved in the first place, as shown in the figure below, val_cc = 0.96, a little bit ha, so what we need to do noUTF-8...
Posted by ThaSpY on Wed, 22 Sep 2021 06:40:08 +0530
pytorch deep learning practice lesson 12 cyclic neural network advanced part Basic RNN
Lecture 12 advanced part of cyclic neural network Basic RNN pytorch learning video - video link of station B: The final collection of PyTorch deep learning practice_ Beep beep beep_ bilibili The following are video content notes and source code. The notes are purely personal understanding. FullUTF-8...
Posted by smudge on Wed, 22 Sep 2021 19:11:04 +0530
Deep learning Express Edition 02 --- convolutional neural network
Limitations of linear neural networks There is no difference between any multi hidden layer neural network and single-layer neural network, and they are linear, and the problems that can be solved by the linear model are limited Types of neural networks Basic neural network: linear neural netwoUTF-8...
Posted by infomamun on Fri, 24 Sep 2021 14:43:14 +0530
Pytorch Foundation: similarities and differences between Torch.mul, Torch.mm and Torch.matmul
Pytorch Foundation: similarities and differences between Torch.mul, Torch.mm and Torch.matmul Torch.mul torch.mul(input, other, ***, out=None) → Tensor Multiply each input element by another scalar to return a new tensor. o u t i = o t h e r × i n p u t i out_i = other \times input_i outi=otheUTF-8...
Posted by rocketsprocket on Sat, 25 Sep 2021 13:53:12 +0530
Python geometric series tutorial 1: interactive visualization of Graph datasets
The official account MyEncyclopedia regularly publishes the AI and algorithm, engineering, and the depth and cutting-edge articles in the field of big data cross cutting. Welcome to follow, collect and like. There are corresponding video explanations in this official account. The python geometrUTF-8...
Posted by OnePlus on Sun, 26 Sep 2021 16:54:32 +0530
PyTorch Learning Notes 2.Examples of getting started running official training and reasoning
1. Loading data First reference the necessary libraries: import torch from torch import nn from torch.utils.data import DataLoader from torchvision import datasets from torchvision.transforms import ToTensor, Lambda, Compose import matplotlib.pyplot as plt Like in-depth learning on other machiUTF-8...
Posted by aesir5 on Sun, 26 Sep 2021 23:05:51 +0530
fastai 2019 lesson8 notes notes
lesson8 Video address: https://course19.fast.ai/videos/?lesson=8 preface This second part is very different from the 2018 version. The course name is "deep learning from the foundation". We will learn to implement many things in Fastai and PyTorch. Basically, we will learn something that can beUTF-8...
Posted by Visualant on Wed, 29 Sep 2021 06:25:27 +0530
TypeError: img should be PIL Image. Got ＜class 'dict'＞/Got＜class 'Torch.Tensor'＞/Got＜class 'numpy.n＞
1. Problem description When the code runs to the following statement: for i, data in enumerate(train_loader): There are three types of error reports: TypeError: img should be PIL Image. Got TypeError: img should be PIL Image. Got TypeError: img should be PIUTF-8...
Posted by ragy on Fri, 01 Oct 2021 04:02:50 +0530
Review of classic papers in the field of character recognition phase III: FAN
1. Opening With the development of character recognition based on deep learning, it can be classified by decoding methods. Generally, it can be divided into CTC decoding methods and attention decoding methods. Of course, there will be a variety of subdivisions in the specific implementation. ThUTF-8...
Posted by essjay_d12 on Fri, 01 Oct 2021 06:22:44 +0530
Thoughts on quantitative perception training of deep learning framework and a solution of OneFlow
[introduction to GiantPandaCV] this article shares a recent project that the author did in ONEFLOW. After porting Python FX to ONEFLOW, he realized the automatic quantitative perception training dynamic graph model (called NN. Module in both Python and ONEFLOW). Now users can complete the wholeUTF-8...
Posted by ThatGuyBob on Fri, 01 Oct 2021 23:35:29 +0530