Programming VIP

Introduction to basic concepts Artificial intelligence: simple understanding is to make machines have human thinking and consciousness Three schools of artificial intelligence: Behaviorism: constructing perception control system based on CyberneticsSymbolism: Based on arithmetic logic expression, to solve a problem, first describe the pro ...

Gesture_ Recognition (gesture recognition) 1, Project information The project is developed based on tensorflow 2.1, self built six gesture data sets, built-in image preprocessing, image widening, network model, recognition and other programs. It can help novices master how to use self-made data sets for model training, classification, and cal ...

1 Preface Hi, Hello, this is Dancheng, and today we introduce the classification of breast cancer based on convolution neural network. This is the subject of deep learning in medical image classification You can use it for graduation design Bi design help, problem opening guidance, technical solutions 🇶746876041 2 PREFACE Breast canc ...

This note is based on the tensorflow-2 version and is contributed first code perhaps Download code (scientific Internet access may be required). What is image segmentation In the image classification task, the network assigns a label (or category) to each input image. However, suppose you want to know the shape of the object, which pixel belo ...

What do I knowMy WeChat official accountMy CSDNDownload this article source code + dataNeed help. Ctrl+D: favorite this page In this tutorial, you will learn how to use migration learning to classify images of cats and dogs through a pre training network. The pre training model is a saved network previously trained based on large data sets ...

  in TensorFlow, you can not only build neural networks through the bottom implementation of custom weights, but also directly call the high-level implementation of existing convolution layer classes to quickly build complex networks. We mainly take 2D convolution as an example to introduce how to realize convolution neural network lay ...

DDPG code implementation Code and explanation 1. Super parameter setting import argparse parser = argparse.ArgumentParser() parser.add_argument('--train', dest='train', default=True) parser.add_argument('--random_seed', type=int, default=0) #Whether to render during training parser.add_argument('--render', type=bool, defa ...

Part of the content comes from Keras introductory course 6 of blogger Stanley compound field - migration learning using concept V3 model Address: https://blog.csdn.net/tsyccnh/article/details/78889838 There are two main types of transfer learning The first is the so-called transfer learning. When migrating training, remove the top layer. Fo ...

         First, the first question: what is tensorflow?   It is an open source software library for solving numerical calculation based on data flow graph. Now it is mainly used for in-depth learning. In my understanding, tensorflow can complete the construction of neural network and carry out a ser ...

The picture classification structure is convenient for training and testing 1. Use convolution for complex images https://bit.ly/tfw-lab5 #@title Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apac ...