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import numpy as np import pandas as pd import tensorflow as tf from tensorflow import feature_column from tensorflow.keras import layers from sklearn.model_selection import train_test_split data URL = 'https://storage.googleapis.com/applied-dl/heart.csv' dataframe = pd.read_csv(URL) train, test = train_test_split(dataframe, test_size=0.2) ...

Introduction to Mobilenet Traditional neural network has large memory demand and large amount of computation. Cannot run on mobile and embedded devices. Mobilenet focuses on lightweight CNN networks in mobile terminals or embedded devices (the accuracy is reduced by 0.9% compared with VGG16, but the model parameters are only VGG1/32) 1, ...

sigmoid activation function Function expression: Function image: From this figure, we can see the following characteristics of sigmoid activation function: 1. When the input is greater than zero, the output must be greater than 0.5 2. When the input exceeds 6, the output will be infinitely close to 1, and the discrimination function of ...

paper code abstract The physical world presents visual images in a continuous manner, but computers store and display images in the form of discrete 2D pixel arrays. This paper studies the continuous representation of the image, uses the Local Implicit Image Function (LIIF) to take the image coordinates and the 2D depth features aro ...

VGG paper <Very Deep Convolutional Networks for Large-Scale Image Recognition> Thesis address: https://arxiv.org/abs/1409.1556 Network using duplicate elements (VGG) This paper briefly describes the VGG16 network by learning the harvest of VGG and the reproduction of VGG16. I Gain from learning VGG VGG network clearly points out and ...

Variable Tensor is a perfect component in PyTorch, but building neural network is far from enough. We need tensor that can build calculation graph, which is variable. Variable is the encapsulation of tensor. The operation is the same as that of tensor, but each Variabel has three attributes, and the tensor itself in variable data, correspo ...

Python note12 multilayer neural network Multilayer neural network In the previous, we learned about the two most common models in the field of machine learning, linear regression model and Logistic regression model. They deal with the two most common problems in machine learning - regression problem and classification problem respectively ...

Author: baiyucraft BLog: baiyucraft's Home Original text: Hands on learning and deep learning 1, Differential and derivative    I believe everyone knows the concept. Draw a picture according to the book: import numpy as np from matplotlib import pyplot as plt def set_figsize(figsize=(3.5, 2.5)): """set up matplotlib The ...

Relevant modules of YOLOv5 mainly exist in common. In PY Focus module Function: down sampling The function of Focus module is to slice the picture, which is similar to down sampling. First, change the picture to 320 × three hundred and twenty × 12, and then go through 3 × 3, the output channel 32 finally becomes 320 ...

catalogue 1, Create a new environment 2, Import Python Library 3, New project 4, Testing 5, Prepare dataset 6, Modify profile 7, Training 8, Example test 9, Concluding remarks By default, Anaconda and pycham are installed and everyone knows the basic operation. 1, Create a new environment Open the cmd window, enter conda create -n ...