chainer | A flexible framework of neural networks for deep learning | Machine Learning library
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.
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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
Community Discussions
Trending Discussions on chainer
QUESTION
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.
...ANSWER
Answered 2022-Apr-11 at 00:13QUESTION
Is that possible in Cypress to invoke the Chainer to obtain the results of a get request?
...ANSWER
Answered 2022-Mar-28 at 21:21You 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.
QUESTION
I have this extremely messed up dataframe:
...ANSWER
Answered 2022-Mar-09 at 18:02Here 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 stack
ing the data. Then use reset_index
and rename
to fit the expected output.
QUESTION
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:
ANSWER
Answered 2022-Jan-14 at 11:48You can use the Jquery inArray method.
QUESTION
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.
Thanks!
...ANSWER
Answered 2021-Oct-06 at 08:10you 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):
QUESTION
I have to test this svg, now don't ask me why, I need it and I'm doing some tests!
...ANSWER
Answered 2021-Sep-14 at 07:27Instead of adding the entire value of the style
attribute, you can just add the value that you want to assert using include
.
QUESTION
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 .contains("\n")
?
ANSWER
Answered 2021-Sep-01 at 12:44You can directly check that the innerText has the new line character \n
.
QUESTION
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
...ANSWER
Answered 2021-Aug-12 at 18:12So the createNew
command must be rewritten to respect the async nature of cy commands.
Using then
QUESTION
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
...ANSWER
Answered 2021-Jul-15 at 09:01You can use .as() to assign an alias for later use.
QUESTION
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:
...ANSWER
Answered 2021-Jul-08 at 16:15No, 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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