TwoModalBERT for role classification
Have you ever encountered a situation where you have multiple textual features in your dataset? For example, to correctly classify a message based on its context, i.e. understand the preceding message. Say we have the following dataset and need to classify it.When considering only the message, you can see that its sentiment is positive because ...
Posted by fernyburn on Wed, 18 Jan 2023 12:47:46 +0300
Comparison of PyTorch's Dataset and TorchData API
Deep neural networks take a long time to train. Training speed is affected by factors such as model complexity, batch size, GPU, size of training dataset, etc.In PyTorch, torch.utils.data.Dataset and torch.utils.data.DataLoader are commonly used to load datasets and generate batches. But starting with version 1.11, PyTorch introduces the TorchD ...
Posted by psychowolvesbane on Tue, 27 Dec 2022 05:47:13 +0300
Using Python and Keras for principal component analysis, neural network construction and image reconstruction
the introduce
These days, there's a ton of data in just about every app we use—listening to music, browsing a friend's images, or watching a new trailer.
Recently we were asked by a client to write a research report on image reconstruction, including some graphical and statistical output.
Principal Component Analysis PCA Di ...
Posted by ranjita on Wed, 07 Dec 2022 01:48:04 +0300
NNDL experiment 6 Convolutional neural network ResNet18 implements MNIST
5.4 Handwritten Digit Recognition Experiment Based on Residual Network
Residual Network (ResNet) is a way of adding directly connected edges to nonlinear layers in neural network models to alleviate the problem of gradient disappearance, thereby making it easier to train deep neural networks. In the residual network, the most basic unit is th ...
Posted by agsparta on Wed, 09 Nov 2022 21:02:41 +0300
Day 4 of deep learning - generating confrontation network (GAN): handwritten digit generation
>- **🍨 This article is:[🔗365 Day deep learning training camp](https://mp.weixin.qq.com/s/k-vYaC8l7uxX51WoypLkTw)**
>- **🍦 Reference article address: [🔗100 cases of deep learning-Generate countermeasure network( GAN)Handwritten digit generation | Day 18](https://mtyjkh.blog.csdn.net/article/details/118995896)**
>- **🍖 Author:[K Cla ...
Posted by kaszu on Thu, 18 Aug 2022 12:29:07 +0300
libtorch study notes - MNIST combat
MNIST libtorch practical exercise
Ready to work
First download the MNIST database, http://yann.lecun.com/exdb/mnist/
After downloading, do not decompress it with software such as winrar. For example, t10k-images-idx3-ubyte is decompressed into t10k-images.idx3-ubyte. It is best to decompress it with tar in Linux environment.
Suppose you unzip t ...
Posted by chrys on Wed, 25 May 2022 15:51:55 +0300
pytorch on GPU - training neural network with CUDA (pytorch series-30)
Running PyTorch code on GPU - neural network programming guide
In this episode, we will learn how to use GPU and PyTorch. We will see how to use the general methods of GPU, and we will see how to apply these general techniques to train our neural networks.
Deep learning using GPU
If you haven't seen the episode about why deep learning and neur ...
Posted by bmbc on Mon, 23 May 2022 12:42:05 +0300
[Flying Paddle] Target Detection YOLO-V3 Study Notes
Before learning this course, I heard the name of YOLO. During the epidemic, an up master trained the detection of pedestrian masks through yolo and it was a great success. Without further ado, let's start learning.
Basic Concepts in Object Detection
Before starting to learn YOLO, first learn some basic concepts of target detection. After all, Y ...
Posted by Pro Ninja on Fri, 20 May 2022 08:48:32 +0300
SimpleRNN realizes stock forecast
Please check the previous articles for the principle.
1. Data source
SH600519.csv is the daily k-line data of sh600519 Guizhou Maotai downloaded by tushare module. In this example, only its C-column data is used (as shown in the figure): use the opening price for 60 consecutive days to predict the opening price on ...
Posted by phpnewbie25 on Thu, 19 May 2022 23:01:07 +0300
[PyTorch] Note 02: Autograd auto derivation
From PyTorch 1.4 tutorial
Outline
Tensor
torch.autograd.backward
If the result node is scalar
If the result node is a vector
[PyTorch] Note 02: Autograd auto derivation
In PyTorch, the core of all neural networks is autograd package
1 Tensor
torch.Tensor is the core class of this autograd
A Tensor tensor usually records the following ...
Posted by rusbb on Thu, 19 May 2022 21:17:09 +0300