Programmer Think

Abstract: this project is a deep learning flower recognition and detection system based on keras VGG16 model fine-tuning. It uses cv2 and numpy libraries in Python language to preprocess images, uses keras ImageDataGenerator for data enhancement, and uses Pyqt5 to realize functional visualization, which is convenient for users to detect images. ...

Transformer course business dialogue robot rasa 3 X continuous integration and continuous deployment Continuous Integration and Continuous Deployment Even if the development context assistant is different from developing traditional software, you should still follow software development best practices. Setting up continuous integration and co ...

TVM: a quick tutorial for compiling a deep learning model This article will show how to use the Relay python front end to build a neural network and use TVM to generate a runtime library for Nvidia GPU. Note that cuda and llvm are enabled when we need to rebuild TVM. Overview of hardware backend supported by TVM In this tutorial, we use cu ...

preface In NLP competition, confrontation training is a common means to improve points. This paper will introduce the scene, function, type, specific implementation and future prospect of confrontation training in detail. Confrontation training application scenario Szegedy proposed the concept of countermeasure sample in the 14 year ICLR. ...

1, Calculation diagram 1. Forward 2. Reverse 3. Complexity The computational complexity of both forward and reverse is O (n). Because you need to traverse the graph to calculate the gradient. The memory complexity in the forward direction is O (1), while that in the reverse direction is O (n), because the reverse direction requires one ...

AlexNet Preface Knowledge The Macro Framework of Deep Learning: training and inference and Their Application Scenarios json.loads() method of loading json data: used to convert str-type data to dict. Training For example, now you want to train a model that can distinguish between an apple and an orange. You need to search for some pic ...

preface For students engaged in java development, spring affairs must be familiar. In some business scenarios, the data of multiple tables needs to be written simultaneously in one request. In order to ensure the atomicity of operations (success or failure at the same time) and avoid data inconsistency, we generally use spring transaction ...

Also known as, sort out your unreliable learning records. YOLOv5 profile YOLOv5 is built through yaml configuration file. First, it is in common Build a class with the same name in the PY file, and then read the corresponding operation from the configuration file. The class of the operation will be instantiated. The whole network structur ...

TabNet released by Google is a neural network for tabular data. It realizes instance wise feature selection through sequential attention mechanism similar to additive model, and realizes self-supervised learning through encoder decoder framework.Table data is the most commonly used data type in daily life. For example, credit card fraud detecti ...

China software Cup - Pedestrian Detection and tracking (GitHub address: https://github.com/dddlli/Swin-Transformer-Object-Detection-PaddlePaddle) 1, Algorithm design (1) Pedestrian detection part 1. As the backbone of Faster-RCNN and YOLOV3 and the backbone network of feature extraction, swing transformer replaces the traditional convoluti ...