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 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 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

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

[image rain removal] dcsfn: deep cross scale fusion network for single image rainremoval

Code address: GitHub - Ohraincu/DCSFN: DCSFN: Deep Cross-scale Fusion Network for Single Image Rain RemovalDCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal - GitHub - Ohraincu/DCSFN: DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal

Posted by Ryanmcgrim on Sat, 02 Oct 2021 05:49:22 +0530

TensorFlow neural network classification

catalogue Fashion MNIST dataset 1, Get Mnist dataset 2, Load dataset 3, Data normalization 4, Design neural network model 5, Model Compilation & & Training 5-1. Compilation 5-2. Training 6, Model evaluation 7, Model prediction 1, Classify all test sets 2. Get the result of a classification 3. DUTF-8...

Posted by bhoward3 on Sun, 03 Oct 2021 05:17:09 +0530

Just six steps! Take you to learn the simple cyclic neural network in Keras

Content introduction This article is designed for anyone who wants to understand the working principle of recurrent neural networks (RNNs) and how to use them through Keras deep learning library. Although all the methods needed to solve problems and build applications are provided by the KerasUTF-8...

Posted by sanchez77 on Tue, 05 Oct 2021 01:11:35 +0530

Deep learning: the process of convolution layer

For the pytorch framework, three convolution methods are given: Conv1d,Conv2d,Conv3d In this paper, the first two convolution methods are explored, and the third one is analogized 0. Basic convolution mode understanding Assuming that blue is the convoluted matrix and orange is the convolution kUTF-8...

Posted by Zyx on Tue, 05 Oct 2021 23:14:42 +0530

XGBoost Loss Functions

XGBoost is a powerful and popular implementation of gradient lifting integration algorithm. An important aspect of configuring the XGBoost model is to select the loss function that is minimized during model training. The loss function must match the prediction modeling problem type. In the sameUTF-8...

Posted by mistjulia on Thu, 07 Oct 2021 08:55:33 +0530

Wu Enda deep learning L1 assignment 2 -- implementation of classification neural network with single hidden layer

Implementation of 2-classification neural network with a single hidden layer Use neurons with nonlinear activation functions, such as tanh Some notes do homework Import commonly used packages and toolsets provided by teachers import numpy as np import sklearn import matplotlib.pyplot as plt frUTF-8...

Posted by Snart on Sun, 10 Oct 2021 19:23:08 +0530