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Introduction to deep learning - from naive perceptron to neural network Introduction: Notes for getting started with deep learning 1, Naive perceptron 1. Perceptron Receive multiple signals and output one signal. As shown in Figure 2-1, it is a perceptron that accepts two input signals. Figure 2-1 X1 and X2 are input signals, y are o ...

Pytorch:Hollow Convolution Neural Network Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology This tutorial is not commercial and is only for learning and reference exchange. If you need to reproduce it, please contact me. Void convolut ...

Pytorch:Convolutional Neural Network-LeNet Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology This tutorial is not commercial and is only for learning and reference exchange. If you need to reproduce it, please contact me. In Multilaye ...

Pytorch: optimizer, loss function and deep neural network framework Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology Common optimizer Stochastic gradient descent (SGD) is a basic algorithm in machine learning, in which the model can ...

Common feature processing strategies: User id and item id must be converted into embedded vectorsThe original text needs to be tokenized and translated into embedded textNumerical characteristics need to be standardized By using TensorFlow, we can treat this preprocessing as part of the model rather than a separate preprocessing step. This is ...

1. Construct neural network Here take the simple cnn network as an example Note: since I frozen the parameters of the output layer in step 2, in order to distinguish it from other layers, I named the output layer "output" when defining the network. If the network is not named with the name attribute in the network, the system wi ...

preface As one of the nine malignant tumors in primary school, the chicken rabbit cage problem is estimated to be difficult for many people before learning the binary first-order equation. From the perspective of programmers, there are many solutions to the chicken rabbit cage problem, the most common of which are exhaustive method, formula me ...

Introduction to machine learning for programmers (XI) - object recognition YOLO - recognition of face position and whether to wear a mask This article will introduce the most popular object recognition model YOLO. YOLO is characterized by fast recognition speed 🤗， However, the accuracy is only a little worse than that of fast RCNN (after YOL ...

python+DCGAN model generate verification code + train CNN model + test model accuracy preface I haven't seen you for a long time, my friends. This article has been "premeditated" for a long time. I haven't had time to write it. Today, I finally squeeze out some time to write it well.Because I was reading books about deep learnin ...

1. Environment and Version Description         ~~~~~~~        ● ubuntu 18.04         ~~~~~~~        ● CUDA 10.0         ...