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Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) 4.5 Keras Pipline and custom model The Subclassing API of keras is used to establish the model, that is, TF keras. The model class is extended to define its own new model, and the process of training and evaluating the model is wr ...

Through the previous practice of in-depth learning, whether it is the CNN network built by ourselves or the official network model called through migration learning, it has its advantages and disadvantages. This experiment calls various common CNN network models to understand their characteristics and compare the accuracy of classification for ...

Lifting algorithm is a method to improve the accuracy of weak classification algorithm. This method first constructs a series of prediction functions, and then combines them into a prediction function in a certain way. Lifting algorithm is also a method to improve the accuracy of any given learning algorithm. It is an integrated algorithm. It ...

This article is one of the Apollo project series articles. It will analyze the Routing module in combination with the source code. preface For readers who are new to the Apollo project, you can read another article in my blog - Analysis of Baidu Apollo autopilot platform , there is an overall introduction to the Apollo project. It is recommen ...

Integrated learning To be exact, ensemble learning is not a real machine learning algorithm, at least it does not introduce any new learning algorithm in essence. The overall idea of ensemble learning is to complete the final task through multiple basic (weak) learners. Just as it used to be a single challenge between an algorithm and a proble ...

2021@SDUSC Friday, December 24, 2021 - Monday, December 27, 2021 1, Background: Continue to analyze the factor folder this week. This week, I analyzed the visual residuals of the code part and the residuals of feature points under the projection of the camera: projection_factor.cpp and projection_td_factor.cpp and pose_local_parameterization ...

2021SC@SDUSC In this analysis, I will briefly introduce and summarize the SimpleRecognizePlate function. Since this function is mainly analyzed by other members of my team, there is no need to analyze it in detail here. The focus is to compare it with the SimpleRecognizePlateByE2E function I analyzed. The function code is as follows: def Sim ...

2021SC@SDUSC This article is an overview of the overall structure of paddedetection Structure diagram: The core idea is to form a complete pipline through yaml file by combining the main module and pluggable module for train, eval, infer and export_model. yaml file is equivalent to design drawings. The program will design the structure we ...

2021SC@SDUSC Code address: https://github.com/tensorflow/similarity/blob/master/tensorflow_similarity/evaluators/evaluator.py def evaluate_classification( self, query_labels: IntTensor, lookup_labels: IntTensor, lookup_distances: FloatTensor, distance_thresholds: FloatTensor, metrics: Sequence[ ...

ros workspace The workspace can be compared with the project in vs. the src folder under the workspace stores various ros packages. ros packages can be considered as function packages to realize specific functions, such as robot_description describes the robot, and navigation plans the path. 1. Create workspace: mkdir -p practice_ws/src cd pr ...