google-colaboratory

问题 I made the following architecture Layer (type) Output Shape Param # ================================================================= embedding_7 (Embedding) (None, 50, 64) 512000 _________________________________________________________________ bidirectional_5 (Bidirection (None, 200) 132000 _________________________________________________________________ dense_9 (Dense) (None, 1) 201 ================================================================= Total params: 644,201 Trainable params:

问题 I am trying to connect from google colab to local host - it does not work, google troubleshooting advise suggests that I should allow local Jupyter notebook to accept colab requests - how to do it ? Screenshot from local host which confirms that requests from colab are forbidden. There should be some config modification to allow such requests, is not it ? Advise from colab: 来源： https://stackoverflow.com/questions/62103546/access-to-jupyter-notebook-from-outside-how-to-allow-google-colab-to

问题 Is there a way to check last edit time in google colab? Specificly in read only mode? Tried in the google colab ui and didn't find any solution.. 回答1: In "File > Revision History" maybe? 回答2: For Drive notebooks, select 'Locate in Drive' from the File menu. Then, right click, select 'Show details', and you'll see the last modified time among the info listed. 回答3: Right click on your ipynb file and choose "Manage Versions" then you can see last versions. You can also keep some versions forever

问题 I tried to unzip large zipfiles from my Drive into my Colab and got this error: BadZipFile: zipfiles that span multiple disks are not supported How do I unzip large files from Drive into Colab? 回答1: Im doing that with two options: !unzip file_location -d file_destination #-d is for quite option. Or other option more elaborate: import zipfile from google.colab import drive drive.mount('/content/drive/') zip_ref = zipfile.ZipFile("/content/drive/My Drive/ML/DataSet.zip", 'r') zip_ref.extractall

问题 I have a live stock API for ML implementation i'm using Google colab as the environment and i have established contact with API and the status is success and i have received a json text file and i have parsed as a .json() and make as viewable and indented. { "Meta Data": { "1. Information": "Daily Prices and Volumes for Digital Currency", "2. Digital Currency Code": "BTC", "3. Digital Currency Name": "Bitcoin", "4. Market Code": "CNY", "5. Market Name": "Chinese Yuan", "6. Last Refreshed":

问题 I am trying to save files onto my Google Drive from a colab notebook and I keep getting the same error. I have already mounted my drive. When I call pwd, I get, which seems right: /content/drive/My Drive/ Here is an example code and read-out: from google.colab import drive drive.mount('/content/drive') import pandas as pd import numpy as np df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD')) print(df) df.to_csv('test.csv') A B C D 0 38 28 18 74 1 36 54 84 13 2 2 1

问题 This question already has answers here : Unexpected keyword argument 'ragged' in Keras (2 answers) Closed last month . I tried a code for Face mask detect and alert system and I am getting an error regarding the same. I trained the model in Google Collaboratory and ran the following code in Jupyter Notebook. The code is as follows: # Import necessary libraries from keras.models import load_model import cv2 import numpy as np import tkinter from tkinter import messagebox import smtplib #

问题 I'm getting this error in a google colab notebook. Do I need to install something or it's just not possible to use pypy inside colab? I've tried this simple script: %%pypy print("hello") # Couldn't find program: 'pypy' If I run %lsmagic the output is the following, in which pypy is present. Available line magics: %alias %alias_magic %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history

问题 I can use Altair to show Vega-Lite visualizations in Google Colab. But is there a way to show plain Vega visualizations? I tried ipyvega in Google Colab. But when I run their example in Google Colab, then nothing shows up, and there is no error. 回答1: You can display a vega chart in Colab using the altair.vega.Vega class, once you have enabled the Colab renderer. Here is an example: from urllib import request import json with request.urlopen("https://vega.github.io/vega/examples/bar-chart.vg

问题 I'm trying to use the following spacy module in colab: https://spacy.io/universe/project/neuralcoref I install the following packages: !pip install spacy import spacy !pip show spacy !git clone https://github.com/huggingface/neuralcoref.git import neuralcoref I get the following output after installing: Name: spacy Version: 2.2.4 Summary: Industrial-strength Natural Language Processing (NLP) in Python Home-page: https://spacy.io Author: Explosion Author-email: contact@explosion.ai License: