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7. Loss function loss Loss usually refers to the difference between the predicted value and the real value of the output of the neural network, which is used to: ① Calculate the gap between the actual output and the target ② Provide some basis for us to update the output (back propagation) For example: the specific definitions of each functio ...

2021SC@SDUSC preface This article analyzes torch in yolov5 code_ Utils.py file is mainly some encapsulated tool classes. torch_distributed_zero_frist function @contextmanager def torch_distributed_zero_first(local_rank: int): """ Decorator to make all processes in distributed training wait for each local_master to do something. ...

0. Preface Some powerful models have been used before, such as VGG16 in the field of image classification, YoloV5 in the field of target detection, Yolact in the field of instance segmentation, etc. But only after the environment is configured for training, the interface of the source code can be modified slightly to meet their own needs. ...

os module details When looking at the great gods' code, you can often see the figure of the os module, and then want to make a summary for later viewing The following figure refers to CSDN blogger's "beauty of data analysis and statistics". Thank you very much for the picture Let's introduce the usage of each one in detail: (1) os.g ...

** 1 - Packages (import package, load dataset) 1.1 import package The Python packages used include: ◎ numpy is a basic package for scientific computing using Python. ◎ h5py Python provides an interface for reading HDF5 binary data format files. This training and test picture set is stored in HDF5. ◎ matplotlib is a famous drawing library in ...

1, PNN probabilistic neural network speech emotion recognition 1 speech emotion recognition system In the speech emotion recognition system, the recorded corpus contains five different emotions of five actors, namely happiness, fear, sadness, anger and neutrality. At the same time, the corpus is divided into training set and test set. The desi ...

1. Introduction to Q & a system Q & a system is usually divided into: Task robotChat robotSolution robot (customer service robot) The three are designed for different application scenarios: Task based robots are mainly used to complete some specific tasks of users, such as buying air tickets, phone recharge or weather consultati ...

1. Download SSD pytorch code SSD pytorch code link: https://github.com/amdegroot/ssd.pytorch git clone https://github.com/amdegroot/ssd.pytorch Run the code and download it locally (if the download is too slow, you can upload it to the code cloud, and then git clone the code cloud address) 2. Prepare data sets Students without datasets ca ...

Hello, my technician Howzit, this is the 20th part of the introduction series of in-depth learning. Welcome to communicate with us! Introduction to deep learning series 1: overview of multi-layer perceptron Introduction to deep learning series 2: build your first neural network with TensorFlow Introduction to deep learning series 3: performanc ...

Abstract: This paper mainly realizes a case of classification learning through Keras, and introduces MNIST handwriting recognition data set in detail. This article is shared from Huawei cloud community< [Python artificial intelligence] XVII. Case study of Keras building classification neural network and MNIST digital image >, by eastmo ...