本文记录了完成《CMU 10-414/714Deep Learning System》配套 Assignments 的过程和对应笔记。共有 6 个 hw,循序渐进地从头实现了一个深度学习框架,并利用搭建 DL 中厂常见的网络模型,包括CNN、RNN、Transformer等。 实验环境为Ubuntu 24 @ WSL2。 由于官方自动评分系统目前不再
Q1: Weight Initialization Q1 实现的是几种不同的生成参数初始值的方法,结合init_basic.py中的辅助函数,照抄 notebook 中给的公式实现,比较简单。注意把kwargs传递给辅助函数,里面有dtype、device等信息。 defxavier_uniform(fan_in,fan_out,gain=1.0,**kwargs):### BEGIN YOUR SOLUTIONa=gain*math.sqrt(6/...
本文记录了《CMU 10-414/714 Deep Learning System》配套 Assignments 的完成过程和对应笔记，包括 6 个 hw，从头实现一个深度学习框架，并利用常见网络模型，包括 CNN、RNN、Transformer。实验环境为 Ubuntu 24 @ WSL2。所有代码上传至 cmu10-414-assignments: cmu10-414-assignments，如官网撤包，可通...
【深度学习】 CMU | 双语CC字幕 Deep Learning CMU 11-785 -2022 FALL【深度学习】 CMU | 双语CC字幕 Deep Learning CMU 11策灵马若至彼洋晚意编辑于 2023年07月14日 11:25 l1 what can a network represent: affine ax + by + c include linear ax + by one hidden layer only approximated L3 激活...
Mar 10, 2024 README.md add hw1 to README Oct 8, 2022 课程主页:Deep Learning Systems (dlsyscourse.org) 我的知乎专栏:深度学习系统 - 知乎 (zhihu.com) ASSIGNMENT Homework 0:零-从 0 实现 MNIST 手写数字识别 - 知乎 (zhihu.com) Homework 1:壹-实现计算图与自动求导 - 知乎 (zhihu.com) ...
https://github.com/cmudeeplearning11785/deep-learning-tutorials/blob/master/recitation-2/Tutorial-pytorch.ipynb ''' import torch import numpy as np from torch.autograd import Variable x = torch.FloatTensor(2,3) print(x) x.zero_() print(x) ...
4. 作业分析,Karger最小割:(python)Engineering: Algorithms1 - SELF PACED Algorithms: Design and Analysis(1445) 5. TensorFlow-GPU、Win10、m1050Ti、anaconda、VSCODE,新手排坑(1082) 评论排行榜 1. Python 学习记录 (MIT 6.0001)(2) 2. [Operating System] {ud923} == Sample Final Questions =...
CMU《深度学习导论|CMU 11785 introduction to deep learning Spring 2024》中英字幕(deepseek)共计28条视频,包括:[01]IDL Spring 2024_ Lecture 0 - Logistics.zh_en、[02]IDL Spring 2024 _ Lecture 1.zh_en、[03]IDL Spring 2024_ Lecture 2.zh_en等,UP主更多精彩视
Deep Learning refers to a Machine learning that uses multi-layer Neural Networks (non-linear functions) as hypothesis class. The only constrain on the network te be considered "deep" is to have ≥ 1 hidden layer - i.e. belong to a non-linear hypothesis class. A Layer is usually referre...
To tackle this challenge, we introduce CMU DeepLens, a new fully automated galaxy-galaxy lens finding method based on Deep Learning. This supervised machine learning approach does not require any tuning after the training step which only requires realistic image simulations of strongly lensed systems....