kandi X-RAY | chainer Summary
kandi X-RAY | chainer Summary
Website | Docs | Install Guide | Tutorials (ja) | Examples (Official, External) | Concepts | ChainerX. Forum (en, ja) | Slack invitation (en, ja) | Twitter (en, ja). Chainer is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using CuPy for high performance training and inference. For more details about Chainer, see the documents and resources listed above and join the community in Forum, Slack, and Twitter.
Top functions reviewed by kandi - BETA
- Add documentation for the chainerx .
- Generate documentation for RNN .
- Generate documentation for a reshape .
- Generate documentation for the creation .
- Set the convolution document .
- Calculate numerical gradient of inputs .
- Decorator for static graphs .
- Generate the dot product of two arrays .
- Dump a function object .
- Test for documentation .
chainer Key Features
chainer Examples and Code Snippets
bash download.sh train # Preprocessing cd ./code/ ## English ## make sure to downalod captions_train2014.json from the orignal MSCOCO! python preprocess_MSCOCO_captions.py \ --input ../data/MSCOCO/captions_train2014.json \ --output ../data/MSCOC
Using ADAM alpha=1e-4 epoch iteration main/loss main/accuracy validation/main/loss validation/main/accuracy 1 600 0.515395 0.854901 0.193552 0.9453 2 1200 0.195267 0.942567
bash download.sh #English python sample_code_beam.py \ --rnn-model ./data/caption_en_model40.model \ --cnn-model ./data/ResNet50.model \ --vocab ./data/MSCOCO/mscoco_caption_train2014_processed_dic.json \ --gpu -1 \ --img ./sample_imgs/COCO_val2014_
import six import chainer import chainer.functions as F from chainer.functions.loss.vae import gaussian_kl_divergence import chainer.links as L class VAE(chainer.Chain): """Variational AutoEncoder""" def __init__(self, n_in, n_latent, n_h
Trending Discussions on chainer
I have a dataframe such as below and I want to split the string column into rows each with an equal string of 4 characters....
ANSWERAnswered 2022-Apr-11 at 00:13
Is that possible in Cypress to invoke the Chainer to obtain the results of a get request?...
ANSWERAnswered 2022-Mar-28 at 21:21
You can't do it (not in the same code block).
You are thinking of the async/await pattern, but Cypress does not support it.
You can use a beforeEach() block to set a closure variable or an alias.
I have this extremely messed up dataframe:...
ANSWERAnswered 2022-Mar-09 at 18:02
Here is a way using
stack. First remove the _n from the columns names, then
set_index the column id,
mask the cell with empty string that would be remove when
stacking the data. Then use
rename to fit the expected output.
I have a json list containing some several hundreds of entries. I want to check whether the list contains a specific entry.
I tried using
.contains as a chainer, but this is not accepted by Cypress:
ANSWERAnswered 2022-Jan-14 at 11:48
You can use the Jquery inArray method.
If I have the following graph and want to get the values of tensors T1 and T2 in TF without eager execution, how would I do this? I only know of eval() or session.run() (running that twice could be an option) or tf.print(), but printing is not desired (for performance reasons).
Especially, how is this functionality implemented in TensorFlow? Does this impose a big overhead towards just getting T2? I would be happy to be pointed to relevant resources as well.
I'm generally looking for discussions on this -- if people want to add comparisons to how other frameworks do this (Caffe, Torch, CNTK, Theano, Chainer, DyNet, etc.), that's great! In the end, I am trying to understand how these frameworks could be expanded by operators that return operator-specfic metrics that a user can use to monitor training.
ANSWERAnswered 2021-Oct-06 at 08:10
you can pass multiple parameters to session.run, and it will run the network once and return each of those parameters.
For example (from the docs):
I have to test this svg, now don't ask me why, I need it and I'm doing some tests!...
ANSWERAnswered 2021-Sep-14 at 07:27
Instead of adding the entire value of the
style attribute, you can just add the value that you want to assert using
I want to check with a cypress test if the value is correct in a single-line text fields and multi-line text area.
I here have a single line box where I use the code down below to add an input:
cy.followLabel("When did the incident happen?").type("single \nline");
Same thing for the multi line text area
cy.followLabel("Deenter code herescribe what happened").type("multiple \nlines");
I tried to validate it with .should() but haven't found any chainers that would suit my need.
Is there something like
ANSWERAnswered 2021-Sep-01 at 12:44
You can directly check that the innerText has the new line character
I'm trying to make a cypress api call and get the value to be use on a next stage api call and when i make a return it just send me a big obj of commands
the call im making is...
ANSWERAnswered 2021-Aug-12 at 18:12
In my DOM i have an input and a div, and i want to get the value of both in one command.
Here is an HTML exemple...
ANSWERAnswered 2021-Jul-15 at 09:01
You can use .as() to assign an alias for later use.
I currently have a DeepPavlov bot running in a docker container and using the rise RESTAPI.
My model is based on the English Q&A bot config, but trained on my own Q/A data. It has the identical chainer config.
It ends with the proba2labels/answers_vocab components:...
ANSWERAnswered 2021-Jul-08 at 16:15
No, there is no easy way to configure DeepPavlov to do this. You either should change DeepPavlov source code or write your own server with proper response format. In the second case, DeepPavlov model could be used with build_model method.
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