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java script error in juypter
you may find a java script error in when plot, try this
Then I purged the pip3 cache pip3 cache purge
.
Reinstall with pip3 install jupyterlab
,
then pip3 install matplotlib, pip3 install matplotlib, pip3 install ipywidgets, pip3 install ipympl.
pip install -r requirements.txt出错
pip install -r requirements.txt 报错
求视频的脚本
首先感谢大佬造福人类!!
但是本蒟蒻英语渣渣,看英文字幕慢,视频自带的翻译又一般。
问一下,作者大佬能不能整理把视频的英文字幕整理成文档?本蒟蒻对着文档和ppt学可能会高效一些。
先膜为敬Orz
C3_W2_RecSysNN_Assignment.ipynb NOT PASSED
执行pip install -r requirements.txt报错——pycurl
python:3.7.6(新建环境)
导入pip install -r requirements.txt报错
error code为1时可能需要执行:
pip install --upgrade setuptools
但是并没有解决我的问题:
在这个地址:https://download.lfd.uci.edu/pythonlibs/archived/cp37/pycurl-7.45.1-cp37-cp37m-win_amd64.whl
下载pycurl的whl,直接从本地导入,在require文件中删除pycurl。
再执行:pip install -r requirements.txt
环境准备成功。
How can i install lab_utils_uni.py file
I don't know how get this file.
Recommend to replace "==" with ">=" in requirements.txt.
lab_utils_common.py是什么呢?
不知道如何运行他,直接复制粘贴报错缺少东西。
这是什么程序呢?看着不像是课程里的线性回归程序呀
Display(visible=0, size=(840, 480)).start(); 报错
在Deep Q-Learning - Lunar Lander中,运行 Display(visible=0, size=(840, 480)).start();
报错误: hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] 系统找不到指定的文件。
Can you provide all the slides?
Can you provide all the slides, which are not available since week3 of Advanced Learning Algorithms?
can not import deeplearning.mplstyle in Supervised learning, like in C1_W1_Lab04_Cost_function_Soln(even more)
I just download the files from github (thank "kaieye" BTW), but it is so upset when I find I cann't run the first part of the practical. It is not the only practical lab when this things happened, so I think I must did something wrong. I tried to delete ./ , but it only work in C1_W1_lab03. Here is the situation and errors.
I do put the files of week4 in one file flod(it is not wrong, right?)
I use windows system, and my python's version is 3.11.2.
please give me some advise! I don't want give up because of this!
for downloading the slides about the missing parts in Course Two-The Advanced Algorithm
you can download the slides about the second course-the advanced learning algorithm -from the official resource,i paste the link below,hope this may help you~
https://community.deeplearning.ai/t/mls-course-2-lecture-notes/149431
C2_W1.pdf
C2_W2.pdf
C2_W3.pdf
C2_W4.pdf
为啥我的训练损失值不对呢
请问一下,为啥我的训练损失值不对呢,越来越大,是不是哪里有问题
/**
* @param {[xi:number,yi:number][]} dataArr
*/
function start(dataArr) {
//线性函数模板
const yFn = (w,b,x) => w * x + b
// 样本数量
const m = dataArr.length
/**
* 损失函数 J
* @param {number} w
* @param {number} b
*/
const J = (w,b) => dataArr.reduce((t,[xi,yi]) => t + (yFn(w,b,xi) - yi) ** 2,0) / (m * 2)
// 获取 w,b关于 损失函数J的 导数
const get_dj_wb = (w,b) => dataArr.reduce((t,[xi,yi],i) => {
t.dj_dw += (yFn(w,b,xi) - yi) * xi
t.dj_db += (yFn(w,b,xi) - yi)
if (i + 1 === m) {
t.dj_dw /= m
t.dj_db /= m
}
return t
},{ dj_dw: 0,dj_db: 0 })
//初始参数 w ,b
let w = 0,b = 0
// 学习率
let L = 0.01
//开始训练
for (let i = 0; i < 10; i++) {
let sun_shi = J(w,b)
console.log('sun_shi',sun_shi)
console.log('w',w)
console.log('b',b)
let { dj_dw,dj_db } = get_dj_wb(w,b)
w = w - L * dj_dw
b = b - L * dj_db
}
}
Advanced Learning Algorithms\week1\8号文件夹名应该加个Practice quiz
Why does output keep showing "loading widget" in C1_W1_Lab04_Cost_function_Soln?
What should I do?
jupyter book执行lab报错No module named ‘ipympl‘
Folder name is not friendly to windows system, could you remove ':'
ModuleNotFoundError :No module named 'scipy' and NameError: name 'load_house_data' is not defined
Every time I run it, it pops up ModuleNotFoundError or NameError and so on. Probably because I didn't run successfully "pip install -r requirements.txt",I don't know. When I run this, it always comes up "error: subprocess-exited-with-error" and "exit code: 1".I don't know how to solve it. Can someone help me? Thank you very much!
更新最新课件
本次课程的TensorFlow的版本应该是多少?
我使用2.4的版本,运行C2_W2_Lab02报错AttributeError: module 'tensorflow.keras.layers' has no attribute 'Normalization',升级版本到2.6又继续报这个
cannot import name 'dtensor' from 'tensorflow.compat.v2.experimental' `错误。正确的TensorFlow版本应该是多少,requirement.txt里面也没有。
Advanced Learning Algorithms - C2_W1_Assignment issue
# UNIT TESTS
from public_tests import *
test_c1(model)
with this log
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-9-c43f6ee12586> in <module>
2 from public_tests import *
3
----> 4 test_c1(model)
~/work/public_tests.py in test_c1(target)
7 def test_c1(target):
8 assert len(target.layers) == 3, \
----> 9 f"Wrong number of layers. Expected 3 but got {len(target.layers)}"
10 assert target.input.shape.as_list() == [None, 400], \
11 f"Wrong input shape. Expected [None, 400] but got {target.input.shape.as_list()}"
AssertionError: Wrong number of layers. Expected 3 but got 0
Please add .gitignore
the .ipynb_checkpoints/
directory is generated automaticly by Jypyter notebook for temporary save. This directory is useless and may confuse beginners. So I suggest to add it into .gitignore
???
when you upload latest course?
C2_W2_Assignment - advanced-learning-algorithms issued
z = np.array([1., 2., 3., 4.])
a = my_softmax(z)
atf = tf.nn.softmax(z)
print(f"my_softmax(z): {a}")
print(f"tensorflow softmax(z): {atf}")
# BEGIN UNIT TEST
test_my_softmax(my_softmax)
# END UNIT TEST
with this error
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-4-9cac3ae3f00f> in <module>
1 z = np.array([1., 2., 3., 4.])
----> 2 a = my_softmax(z)
3 atf = tf.nn.softmax(z)
4 print(f"my_softmax(z): {a}")
5 print(f"tensorflow softmax(z): {atf}")
<ipython-input-3-666c0ba803d5> in my_softmax(z)
12
13 ### END CODE HERE ###
---> 14 return a
NameError: name 'a' is not defined
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