Deep Learning
First of all, please show our protagonist What we want to identify today is this picture. First, let's look at the final recognition effect: Although the marks drawn after recognition are not very good, as long as the location information comes out, the marks drawn are actually secondary. PrepaUTF-8...
Posted by Black Rider on Wed, 22 Sep 2021 05:09:09 +0530
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
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
Explore tensorflow preparation Use pycharm to create a new project, then create a tf.py file, and download the basic data required for this work to the project folder. ( Download link). Import related libraries import numpy as np import h5py import matplotlib.pyplot as plt import tensorflow asUTF-8...
Posted by Loldongs on Sat, 25 Sep 2021 12:09:07 +0530
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
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
Note: All functions are for the watermelon dataset only. If you need to classify other datasets, simply find the column in the dataset where the target values (yes and no for a good melon) are located (the last column in the watermelon dataset), and then you will need to replace the code that rUTF-8...
Posted by venkat20 on Sun, 26 Sep 2021 23:58:20 +0530
In this article, I will detail how to use face_recognition and pilot are modules that extract and recognize faces from a pile of photos. I want to owe it to Brad traversi because the idea was originally from a Traversy media video that I have bookmarked for some time and recently re viewed (linUTF-8...
Posted by jkewlo on Tue, 28 Sep 2021 12:57:38 +0530
Project introduction Text classification is one of the application fields of natural language processing. Text classification is the basic type of many other tasks. This project is the simplest binary classification problem. This project will introduce how to convert text data into numerical feUTF-8...
Posted by Marqis on Wed, 29 Sep 2021 00:24:50 +0530
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