python-note | Python study notes - Python 学习笔记
kandi X-RAY | python-note Summary
kandi X-RAY | python-note Summary
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Top functions reviewed by kandi - BETA
- Print the maximum value .
- Prints a function to stdout .
- Sets up the name of the action .
- Top level function .
- Generate a 3x3 triple .
- Send a greeting .
- print key parameters
- Function to be used as a function
- Add two values .
- Return None or None .
python-note Key Features
python-note Examples and Code Snippets
Lines of Code : 47License : Non-SPDX (Apache License 2.0)
Copydef dense_to_sparse_batch(batch_size, row_shape):
"""A transformation that batches ragged elements into `tf.sparse.SparseTensor`s.
Like `Dataset.padded_batch()`, this transformation combines multiple
consecutive elements of the dataset, which def enumerate_dataset(start=0):
"""A transformation that enumerates the elements of a dataset.
It is similar to python's `enumerate`.
For example:
```python
# NOTE: The following examples use `{ ... }` to represent the
# contents of a d def unbatch():
"""Splits elements of a dataset into multiple elements on the batch dimension.
For example, if elements of the dataset are shaped `[B, a0, a1, ...]`,
where `B` may vary for each input element, then for each element in the
data Community Discussions
Trending Discussions on python-note
QUESTION
I am studying Deep Learning with Python
Book by François Chollet book chapter 10.2.5 I use tensorflow 2.4.1.
Here is the code for weather forcast by LSTM :
...ANSWER
Answered 2022-Feb-02 at 09:57I solve the problem by downgrading numpy from 1.21 to 1.19
QUESTION
Inspired by François Chollet's book "Deep Learning with Python" (1rst edition) I'm trying to generate a picture that maximizes a prediction of a VGG16 model.
The original procedure for intermediate layers is described here (from cell 12 on):
Essentially, this involves a gradient descent for the input image:
...ANSWER
Answered 2022-Jan-03 at 08:18Finally I found a workaround for this by writing an own random search function that minimizes the prediction difference to a given prediction:
QUESTION
I have reviewed various related questions including
- How do I get MathJax to enable the mhchem extension in ipython notebook
- IPython (Jupyter) MathJaX preamble
but I cannot get it to work...
My test case is simply
...ANSWER
Answered 2021-Nov-20 at 18:04This does not address the OP's fundamental issue, which relates to the control of the installation of MathJax extensions in jupyter, but it does address the objective: to alter the rendered appearance of greek symbols (but can be applied to other font-related needs as well)
Updated The following will create TeX macros for all upper and lower case greek characters, as also available in Upgreek if it could be installed.
QUESTION
To continue my research on how to plot a xml file and continue checking my code, I first applied a division to signal.attrib ["Value"], since it shows some string values and what I'm interested in is the numeric values.
And as you can see below, I relied on the documentation for Pandas and SQL Compare.
...ANSWER
Answered 2021-Jun-03 at 15:25Yes you can, with xticks().
QUESTION
In Python you can use a pretrained model as a layer as shown below (source here)
...ANSWER
Answered 2021-May-06 at 09:21Solved using this API modification in Sequential.cs:
QUESTION
I want to do the same as F. Chollet's notebook but in C#.
However, I can't find a way to iterate over my KerasIterator object:
...ANSWER
Answered 2021-Apr-13 at 13:15As of April 19. 2020 it is not possible with the .NET Wrapper as documented in this issue on the GitHub page for Keras.NET
QUESTION
I'm trying to "convert" the Keras notebooks made by F. Chollet to C# / .NET applications. You can find them here. I am specifically working on "3.5 - Movie Reviews" as of right now.
The problem is, I can't convert my NDarrays to C# arrays to use the values. I tried this method (in README - section Performance Considerations), but I get random values or Python Runtime errors.
...ANSWER
Answered 2021-Apr-13 at 12:47Solved the issue parsing manually the attribute '.str' of 'line0' into an array of ints.
QUESTION
I'm working with the example code for importing an IPython (Jupyter) notebook,
Importing Notebooks. The example code still runs fine, however it generates a warning that I would like to understand and fix:
ANSWER
Answered 2021-Apr-06 at 05:07Keep in mind the example you've linked up is for a much older version of Jupyter - 4.x. The page with these examples has been relocated at some point, and for the 5.7.6 version of Jupyter (the most recent as of writing this) it's located here.
First, replace the from IPython.nbformat import current import with from nbformat import read
Then, replace this part of the 4.x snippet:
QUESTION
I am following F.Chollet book "Deep learning with python" and can't get one example working. In particular, I am running an example from chapter "Training a convnet from scratch on a small dataset". My training dataset has 2000 sample and I am trying to extend it with augmentation using ImageDataGenerator. Despite that my code is exactly the same, I am getting error:
...Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least
steps_per_epoch * epochsbatches (in this case, 10000 batches).
ANSWER
Answered 2021-Jan-24 at 13:35It seems the batch_size should be 20 not 32.
Since you have steps_per_epoch = 100, it will execute next() on train generator 100 times before going to next epoch.
Now, in train_generator the batch_size is 32, so it can generate 2000/32 number of batches, given that you have 2000 number of training samples. And that is approximate 62.
So on 63th time executing next() on train_generator will give nothing and it will tell Your input ran out of data;
Ideally,
QUESTION
I am using the R programming language. I am trying to follow this tutorial over here: https://rviews.rstudio.com/2017/09/25/survival-analysis-with-r/ (bottom of the page).
I have slightly modified the code for this tutorial and have plotted the "staircases" (i.e. "survival functions", in the below picture "red", "blue", "green") corresponding to 3 of the observations in the data:
...ANSWER
Answered 2020-Dec-25 at 23:39The issue is that when you draw a plot in base graphics draw directly on a device. The line of your code grob= plot(r_fit$unique.death.times, pred[1,], type = "l", col = "red") creates a NULL object (unlike ggplot which would return a plot object).
You can make the plot directly in ggplot (there are a few ways of doing this but I've done a simple example bolow) and convert it with ggplotly:
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You can use python-note like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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