Programmer Think

Neural network case Learning objectives Able to use TF Keras get datasetConstruction of multilayer neural networkBe able to complete network training and evaluation The MNIST dataset using handwritten digits is shown in the figure above. The dataset contains 60000 samples for training and 10000 samples for testing. The image is a fixed ...

Visualization helps to explain and understand the internal structure of deep learning model. Through the visualization of the model calculation diagram, we can find out how the neural network is calculated. The visualization of the model mainly includes the following aspects:How many layers does the model haveInput and output shapes of each lay ...

When deep learning multi band data training, the model has been unable to converge. torch.functions.to_tensor() function Here is to_tensor function source code def to_tensor(pic): """Convert a ``PIL Image`` or ``numpy.ndarray`` to tensor. This function does not support torchscript. See :class:`~torchvision.transforms.ToTensor` ...

background Download address: https://rrc.cvc.uab.es/?ch=4&com=downloads Note: this data is open source data, but you need to register an account. You can download it simply by registering; Introduction: it is used for text detection task. The data includes 1000 training samples and 500 test samples; Required data display Firstly, the d ...

preface In computer vision tasks, such as image classification, image data set is essential. The pictures collected by yourself often have a lot of noise or useless information, which will affect the model training. Therefore, the image needs to be cropped to prevent the useless information at the edge of the image from affecting the mod ...

Deep learning based on Keras (II) -- construction and training of LeNet LeNet is a very efficient convolutional neural network for handwritten character recognition. Although the network is small, it contains the basic modules of deep learning: convolution layer, pooling layer and full connection layer. It is also the basis of other deep l ...

Teacher Wu began to build a hidden neural network. 1, Importing datasets and drawing Two files are required before importing the dataset. Please refer to [data] import numpy as np import pandas as pd from matplotlib import pyplot as plot from testCases import * import sklearn from sklearn import datasets from sklearn import linear_model from ...

Reprint AI Studio project link https://aistudio.baidu.com/aistudio/projectdetail/3483236 Animation line draft coloring project Task description The purpose of this project is to input an animation line draft, and then color the line draft with one key Data set introduction From this website https://www.kaggle.com/ktaebum/anime-sket ...

preface During this period of time, I have benefited a lot from watching the explanation of in-depth learning by up Master Liu Er of station b. Let me know what Inception is and how to embed the structure into the model. Here is the video address: https://www.bilibili.com/video/BV1Y7411d7Ys?p=11&share_source=copy_web Interested fri ...

Univariate linear regression Model description For the model affected by a single variable, we usually abstract it into the form of univariate primary function, and we assume a hypothetical function H( θ)=θ 0+ θ 1x Cost function When we make a hypothetical function, we need to determine θ 0 and θ 1 the values o ...