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Starting from 0, data analysis and machine learning in Xueda University are simple and simple to write down the contest experience. This paper uses a variety of machine learning regression algorithms, and also uses deep learning pytorch to build a neural network for regression calculation. 1. Background introduction This is an industrial stea ...

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 ...

❤️❤️❤️ c3d is a free and powerful 3D image processing tool. It can play an unparalleled productivity especially in the research and application of deep learning medical images 😷 Taking Pancreas CT dataset and its tags as an example, I will briefly introduce the common functions of c3d processing dicom format 3D images (dicom into nii) and ...

1. Overview Using YOLOv5 training dataset, there are three steps: data preparation and processing before training, training your own dataset, detection, and some optimization problems after training. 2. Preparations before training First from the official website of YOLOv5: https://github.com/ultralytics/yolov5 Download the corresponding pro ...

Fat introduction Fat (Federated AI Technology Enabler) is an open source project initiated by the AI Department of Weizhong bank, which aims to provide a secure computing framework to support the federal AI ecosystem. It implements a secure computing protocol based on homomorphic encryption and multiparty computing (MPC). It supports the secur ...

This paper mainly refers to the teacher's teaching, the teacher's course learning, memory and notes. Original link There is a road to the mountain of books. Diligence is the path. There is no end to learning. It is hard to make a boat. Zero. Draught does not forget the well digger Please support the teacher's original text Original li ...

abstract In order to understand what happened, we printed out some statistics during model training to see whether the training was in progress. However, we can do better: PyTorch is integrated with TensorBoard, which is a tool for visualizing the results of neural network training. This tutorial explains some of its functions using the fa ...

         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 ...

1, Linear neural network (1) Linear regression 1. Linear model The linear model is regarded as a single-layer neural network. 2. Loss function The loss function can quantify the difference between the actual value and the predicted value of the target.   3. Analytical solution     4. Optimization method: small batch grad ...

Original address original text Thesis reading methods Three times thesis method First acquaintance CNN method is brilliant in the field of computer vision, and has replaced the traditional method in many fields. However, the architecture of convolutional neural network lacks spatial invariance. Even if convolution and Max pooling opera ...