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from d2l import torch, linear_regression, logistic_regression, resnet50, softmax, const, randn, zeros, ones, clip, exp, relu, log_softmax, elementwise_op, batch_op, multi_gpu_model, create_param, create_module, create_optimizer, create_scheduler, plot_lr_curve, plot_lr_hist, plot_model...
因为换了新电脑,所以环境都是从零开始配置,但是在安装李沐深度学习里常用的d2l包的时候,确实频繁报错。 这里总结一下我的报错原因,希望大家在遇到bug的时候能够从容面对。 一、李沐提供的安装方式 1. 创建一个新的环境 conda create --name d2l python=3.8 -y 2. 激活 d2l 环境 conda activate d2l 3. ...
第一版:zh.D2L.ai|第二版预览版:zh-v2.D2L.ai| 安装和使用书中源代码:第一版第二版| 当前版本: v2.0.0-alpha1 理解深度学习的最佳方法是学以致用。 本开源项目代表了我们的一种尝试:我们将教给读者概念、背景知识和代码;我们将在同一个地方阐述剖析问题所需的批判性思维、解决问题所需的数学知识,以及...
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nn import functional as F from d2l import torch as d2l batch_size, num_steps = 32, 35 train_iter, vocab = d2l.load_data_time_machine(batch_size, num_steps) 定义模型 代码语言:javascript 代码运行次数:0 运行 AI代码解释 num_hiddens = 256 rnn_layer = nn.RNN(len(vocab), num_hiddens) ...
pip install jupyter d2l 然后切换到D2L记事本的目录,启动jupyter notebook,会跳转到网页: 5.运行D2L 运行Resnet: 下载中: 训练中: 训练完成:(大概2分钟) 沐神的是1919.6 examples/sec 其它运行 打开任意一个notebook,会显示“不可信” 点击信任。
d2l Star Here are 47 public repositories matching this topic... Language:All Sort:Most stars 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。 natural-language-processingcomputer-visiondeep-learningpytorchdeep-learning-tutoriald2lpytorch-tutorial ...