Python-一些关于pytorch深入学习的笔记

【文件属性】：
文件名称：Python-一些关于pytorch深入学习的笔记
文件大小：96.13MB
文件格式：ZIP
更新时间：2022-08-30 21:18:23
Python开发-机器学习 一些关于pytorch深入学习的笔记

【文件预览】：
Deep-Learning-master
----Lesson 9 loss function()
--------overlaps0.npy(320B)
--------The loss function from scratch.ipynb(72KB)
--------pred_bb.npy(8KB)
--------pred_cls1.npy(496KB)
--------targ_cls.npy(4KB)
--------pred_bb1.npy(95KB)
--------overlaps4.npy(576B)
--------targ_bb.npy(7KB)
--------pred_cls.npy(42KB)
----README.md(1KB)
----Cyclical LR and momentums.ipynb(502KB)
----DeepPainterlyHarmonization.ipynb(2.59MB)
----mAP()
--------Computing the mAP metric.ipynb(1.62MB)
--------focus-4b.h5(96.24MB)
----Understanding the new fastai API for scheduling training.ipynb(339KB)
----Learning rate finder.ipynb(69KB)
----Retina net Pascal.ipynb(1.11MB)
----First neural net in pytorch.ipynb(51KB)
----LM_wikitext_mixup.ipynb(48KB)
----Initialize the bias in the final layer of an SSD.ipynb(300KB)
----img()
--------RetinaHead.png(45KB)
--------FPN.png(113KB)
----LM_wikitext_MOTAS.ipynb(121KB)
----Experiments()
--------multiGPU()
--------Post process logs.ipynb(104KB)
--------record_logs.py(4KB)
--------Cifar10-mixup-cutout.ipynb(27KB)
----Retina net Pascal1.ipynb(1.4MB)
----Building a French LM.ipynb(50KB)
----Cache pointer.ipynb(18KB)
----LM_wikitext.ipynb(63KB)
----Bug with frozen LSTM layer.ipynb(6KB)
----Resnet 50 and Darknet 53.ipynb(156KB)
----Adam and weight decay()
--------cifar10-dawn-adam.ipynb(94KB)
--------Tests SGD with Adam and wd.ipynb(138KB)
----Using the callback system in fastai.ipynb(75KB)
----wikitext_103.ipynb(6KB)