摘要:https://developer.huawei.com/consumer/cn/forum/topic/0202545529428830025?fid=23
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摘要:python - 深度学习Loss Nan的原因
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摘要:From: https://www.cnblogs.com/jfdwd/p/11239564.html 参考:https://blog.csdn.net/LIYUAN123ZHOUHUI/article/details/744539801 train loss 不断下降,test loss 不断下降
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摘要:https://machinelearningmastery.com/how-to-stop-training-deep-neural-networks-at-the-right-time-using-early-stopping/ https://blog.csdn.net/df19900725/
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摘要:https://www.onnxruntime.ai/docs/tutorials/tutorials/tf-get-started.html https://azure.microsoft.com/en-us/blog/onnx-runtime-integration-with-nvidia-te
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摘要:https://sh-tsang.medium.com/review-mwcnn-multi-level-wavelet-cnn-for-image-restoration-denoising-super-resolution-jpeg-6bdf48cd6e3d https://analyticsi
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摘要:https://github.com/keras-team/keras-applications/blob/master/keras_applications/imagenet_utils.py https://www.tutorialfor.com/questions-30132.htm http
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摘要:https://petewarden.com/2017/12/14/how-many-images-do-you-need-to-train-a-neural-network/ This is what I believe in: “You need as much data as the numb
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摘要:import os import cv2 for i in sorted(os.listdir("./images_pad")): id = os.path.splitext(i)[0] with open("./labels_pad/" + id + ".txt", "r") as f: for
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摘要:https://www.alexkras.com/convert-video-to-images-via-command-line/ https://github.com/JosephKJ/SDD-Utils/blob/master/annotate.py https://github.com/ro
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摘要:https://github.com/aws-samples/amazon-sagemaker-nvidia-ngc-examples/blob/master/TensorFlow_BYOC_for_training_from_NGC/tf-bring-your-container.ipynb ht
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摘要:https://mxnet.apache.org/versions/1.6/api/faq/model_parallel_lstm.html https://medium.com/@esaliya/model-parallelism-in-deep-learning-is-not-what-you-
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摘要:https://app.diagrams.net/
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摘要:转载 https://github.com/SnailTyan/deep-learning-tools/blob/master/nms.py #!/usr/bin/env python # _*_ coding: utf-8 _*_ import cv2 import numpy as np """
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摘要:https://blog.csdn.net/u012762410/article/details/78912667
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摘要://g++ inferPeopleNet.cpp `pkg-config --cflags --libs opencv4` -I /usr/local/cuda-10.2/include -I /usr/include/aarch64-linux-gnu/ -L /usr/lib/aarch64-l
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摘要:https://arxiv.org/abs/1708.02002 https://zhuanlan.zhihu.com/p/33544892 https://books.google.com.hk/books?id=OJXFDwAAQBAJ&pg=PA234&lpg=PA234&dq=coco+mo
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摘要:http://groups.csail.mit.edu/vision/datasets/ADE20K/ https://pathmind.com/wiki/open-datasets https://www.kaggle.com/datasets/imneonizer/widerperson-kit
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摘要:https://blog.roboflow.ai/why-and-how-to-implement-random-crop-data-augmentation/
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