d2l sim|《动手学深度学习》 — 动手学深度学习 2.0.0 : Tuguegarao 符号¶. 本书中使用的符号概述如下。 数字¶ \(x\) ：标量 \(\mathbf{x}\) ：向量 . 16,000+ Free Online Slots With No Download. Welcome to VegasSlotsOnline, where the world comes to play free slots. Each month, millions of players from across the globe trust us to connect them to online slots they'll love. On this page, you now have access to 16,000+ slot machine demos with no download and no registration needed.
d2l sim,面向中文读者的能运行、可讨论的深度学习教科书. 含 PyTorch、NumPy/MXNet、TensorFlow 和 PaddlePaddle 实现. 被全球 70 多个国家 500 多所大学用于教学. Star 56,039. 公告. 【重磅升级， 新书榜第一 】 第二版纸质书——《动手学深度学习（PyTorch版）》（黑白平装版） 已在 京东 、 当当 上架。 纸质书在内容上与在线版大致相同，但力求 .有时，为了避免不必要的重复，我们将本书中经常导入和引用的函数、类等封装在 .
符号¶. 本书中使用的符号概述如下。 数字¶ \(x\) ：标量 \(\mathbf{x}\) ：向量 .
1.2.1. 数据¶. 毋庸置疑，如果没有数据，那么数据科学毫无用武之地。 每个数据集 .2. 预备知识¶. 要学习深度学习，首先需要先掌握一些基本技能。 所有机器学习方法 .d2l sim3. 线性神经网络¶. 在介绍深度神经网络之前，我们需要了解神经网络训练的基础知 .6. 卷积神经网络¶. 在前面的章节中，我们遇到过图像数据。 这种数据的每个样本都 .7. 现代卷积神经网络¶. 上一章我们介绍了卷积神经网络的基本原理，本章将介绍现 .8. 循环神经网络¶. 到目前为止，我们遇到过两种类型的数据：表格数据和图像数据 .
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Interactive deep learning book with code, math, and discussions. Implemented with PyTorch, NumPy/MXNet, JAX, and TensorFlow. Adopted at 500 universities from 70 countries. Star 21,457. Follow @D2L_ai. .
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d2l sim|《动手学深度学习》 — 动手学深度学习 2.0.0
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