yann | Yet Another Neural Network Library | Machine Learning library
kandi X-RAY | yann Summary
kandi X-RAY | yann Summary
Yann is an extended version of torch.nn, adding a ton of sugar to make training models as fast and easy as possible.
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Top functions reviewed by kandi - BETA
- Benchmark training
- Simple train loop
- Plots the scores between preds and targets
- Convert input to a NumPy array
- Plot the preds and targets
- Index modules
- Register a record
- Plot confusion matrix
- Truncate confusion matrix
- Train lr range
- Load a checkpoint from a checkpoint file
- Set a parameter to a given value
- Calculate gradient of given parameters
- Replace one or more linear layers
- Return a description of a tensor
- Evaluate loss
- Splits the regularization parameters from a module
- Register a new record
- Profile a module
- Performs the forward computation
- Forward computation
- Calculate the norm of given parameters
- Download URLs to destination
- Initialize the trainer
- Computes the class activation maps for each channel
- Write end of training
yann Key Features
yann Examples and Code Snippets
Lines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)
Copy>>> my_list = [1,2,3]
>>> my_list[3]
IndexError: list index out of range
unet.fit((x_train, y_train))
unet.fit(x_train, y_train)
threading.Thread(target=root.mainloop).start() # start the tkinter interface
threading.Thread(target=startndstop,args=("start",)).start() # start the minecraft server
x = item() #fill the fields here
s = ''
for e in x.get_author_name():
if e.isalnum():
s += e
import random
def random_lines(afile,num_lines=10):
counter = 0
lines = []
while counter < num_lines:
line = next(afile)
for num, aline in enumerate(afile, 2):
if random.randrange(num): conmycd=cd
myexit=exit
$mycd /tmp
ls
$myexit 23
diff_tool(f1_text, f2_text)
matrix = [np.array([0.08078721, 0.5802404 , 0.16957052, 0.09629893, 0.07310294]),
np.array([0.14633129, 0.45458744, 0.20096238, 0.02142105, 0.17669784]),
np.array([0.41198731, 0.06197812, 0.05934063, 0.23325626, 0.2334>>> matrix.shape
(5,)
>>> matrix.dtype
dtype('O') # aka object
>>> matrix = np.array([[], np.array([0.08078721, 0.5802404 , 0.16957052, 0.09629893, 0.07310294]), np.array([0.14633129, 0.4import os
import functools
import operator
import gzip
import struct
import array
import tempfile
try:
from urllib.request import urlretrieve
except ImportError:
from urllib import urlretrieve # py2
try:
from urllib.parse impoCommunity Discussions
Trending Discussions on yann
QUESTION
and thanks for your attention and help,
I have a Collection in my livewire controller. This collection contains a list of players, with some properties : here we will just focus on id and name. So we can imagine that we have 3 players in the collection :
...ANSWER
Answered 2022-Mar-20 at 13:46I edit my question because I found a solution :
I just make a loopPlayers function outside of my alpine data and call this function in the alpine data :
QUESTION
Basically I'm trying to generate a cricket dartboard with AlpineJs. It will be a table, with Players' name in the head, and scores for some determinating segments in the body.
So i declared some Alpine.datas :
...ANSWER
Answered 2022-Mar-19 at 11:24Use the string literal syntax only for the dynamic attribute access part:
QUESTION
I'm trying to install a gitlab-runner on EC2. The executor that I want is Docker.
My config.toml is
...ANSWER
Answered 2021-Nov-15 at 14:29There are several things that may be going on here, but it sounds like you've tried the basic DOCKER_HOST stuff. Generally, DinD will set the host to what's necessary, so there is some issue with DinD connecting to your docker daemon on the host. Here are a couple things to try:
- SSH into your GitLab runner, and run
docker psto ensure that the socket is running properly. It's possible that the socket is not set to run on startup. - When you're connected to your box via SSH, ensure that you can access docker without the use of
sudo. If your gitlab-runner user needs to usesudoto access docker, you will get errors. - Start a DinD container on your runner box, passing in the privileged flag, and attempt to access docker from within the DinD container.
Odds are good that the error is how docker is configured on the host - nothing looks wrong with your runner toml or your CI yml.
QUESTION
What is the bug in the following project?
main.cpp
...ANSWER
Answered 2021-Oct-30 at 11:24How can I fix this?
You could solve this by adding/using the keyword inline for the specialization so the specialization would look like:
QUESTION
I am building a website to reference movie showtimes.
The site shows a now playing page with a list of movies, each movie has a page with the upcoming showtimes.
I added some structured data to enhance the way search engines sees the data on my website.
Here is what I have so far:
...ANSWER
Answered 2021-Sep-18 at 10:13My suggestion gave the google guide for Carousel --> Single, all-in-one-page list:
QUESTION
Error:
...ANSWER
Answered 2021-Jun-30 at 16:08Picture tf.gather as a fancy way to do indexing. The error you get is akin to the following example in python:
QUESTION
I need to build a data loader to train a CNN for semantic segmentation using tensorflow. The images are 3-channel tiff training images and 1-channel (grayscale) tiff masks.
So far, I followed this example. They write a function
...ANSWER
Answered 2021-Jun-30 at 15:45If you're still willing to use opencv instead, then you can wrap your reading function in a tf.numpy_function. Inside the scope of the function wrapped in the tf.numpy_function, you deal with numpy arrays, so converting the numpy bytestring representation into a regular python string is needed before calling cv2.imread.
QUESTION
I'm trying to create a Unet for semantic segmentation.. I've been following this repo that has the code from this article. I'm using the scene parsing 150 dataset instead of the one used in the article. My data is not one-hot encoded so I'm trying to use sparse_categorical_crossentropy for loss.
This is the shape of my data. x is RGB images, y is 1 channel annotations of categories (151 categories). Yes, I'm using just 10 samples of each, just for testing, this will be changed when I can actually get it to start training.
...ANSWER
Answered 2021-Jun-10 at 13:36QUESTION
I'm running Kubeflow in a local machine that I deployed with multipass using these steps but when I tried running my pipeline, it got stuck with the message ContainerCreating. When I ran kubectl describe pod train-pipeline-msmwc-1648946763 -n kubeflow I found this on the Events part of the describe:
ANSWER
Answered 2021-Apr-07 at 16:20There was one step missing which is not mentioned in the tutorial, which is, I have to install docker. I've installed docker, rebooted the machine, and now everything works fine.
QUESTION
I have a problem with my Android notifications (sent via FCM). Let me explain.
I can send "classic" notifications which are displayed in the notification bar. I can send notifications with personalized data but they are not displayed in the notification bar.
However, I can't do both. Currently, the payload I send looks like this:
...ANSWER
Answered 2021-Apr-21 at 08:32dealing with push notifications on Android is a bit of a pain indeed. The easiest way to fix your problem is to create the notification yourself.
Somewhere in your code there must be a Service class that extends FirebaseMessagingService which you've declared in your AndroidManifest.xml. It has an onMessageReceived(message: RemoteMessage) method.
You can get the content of the message like so
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install yann
You can use yann 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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