multitask | Task representations in neural networks | Machine Learning library
kandi X-RAY | multitask Summary
kandi X-RAY | multitask Summary
Code for Task representations in neural networks trained to perform many cognitive tasks
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Top functions reviewed by kandi - BETA
- Train a neural network
- Set optimizer
- Restore the model
- Generate trials
- Plots the fractional variance histogram for a given hyperparameter
- Compute the fraction of the fraction of the given sample
- Compute the variables for each trial
- Compute all the variables for a given model
- Plot Variance
- Plot lesions
- Write a job file
- Compute variation time for a choice family
- Plot the variance of the choice family
- Plot the reciprocal and anti - rotations
- Plots the varprop propagation of the model
- Helper function for pretty input output
- Plot the number of clusters
- Generate a schematic plot
- Overrides the default delaymatchory
- Function to plot histogram
- Create an OIC stimulus
- Plot rule connectivity
- Plots the betaweights for a betaw
- Train a set of hyperparameters
- Plot the connectivity of each cluster
- Plot recurrent connectivity
multitask Key Features
multitask Examples and Code Snippets
Community Discussions
Trending Discussions on multitask
QUESTION
Suppose you have a neural network with 2 layers A and B. A gets the network input. A and B are consecutive (A's output is fed into B as input). Both A and B output predictions (prediction1 and prediction2) Picture of the described architecture You calculate a loss (loss1) directly after the first layer (A) with a target (target1). You also calculate a loss after the second layer (loss2) with its own target (target2).
Does it make sense to use the sum of loss1 and loss2 as the error function and back propagate this loss through the entire network? If so, why is it "allowed" to back propagate loss1 through B even though it has nothing to do with it?
This question is related to this question https://datascience.stackexchange.com/questions/37022/intuition-importance-of-intermediate-supervision-in-deep-learning but it does not answer my question sufficiently. In my case, A and B are unrelated modules. In the aforementioned question, A and B would be identical. The targets would be the same, too.
(Additional information) The reason why I'm asking is that I'm trying to understand LCNN (https://github.com/zhou13/lcnn) from this paper. LCNN is made up of an Hourglass backbone, which then gets fed into MultiTask Learner (creates loss1), which in turn gets fed into a LineVectorizer Module (loss2). Both loss1 and loss2 are then summed up here and then back propagated through the entire network here.
Even though I've visited several deep learning lectures, I didn't know this was "allowed" or makes sense to do. I would have expected to use two loss.backward(), one for each loss. Or is the pytorch computational graph doing something magical here? LCNN converges and outperforms other neural networks which try to solve the same task.
ANSWER
Answered 2021-Jun-09 at 10:56From the question, I believe you have understood most of it so I'm not going to details about why this multi-loss architecture can be useful. I think the main part that has made you confused is why does "loss1" back-propagate through "B"? and the answer is: It doesn't. The fact is that loss1 is calculated using this formula:
QUESTION
I'm trying to iterate the dataframe and get the data and add row by row. Trying to fetch stock data (single row) for every company
The code is below :
...ANSWER
Answered 2021-Jun-03 at 10:19in each iteration of your for-loop, your overwrite the previous value of 'df'. One way to resolve would be:
QUESTION
I have set up the following test program (Python 3.9.5, numpy 1.20.2):
...ANSWER
Answered 2021-May-21 at 23:39this was a tricky one ;-)
The problem is that the GIL is not actually released in the np.unique call. The reason is the axis=0 parameter (you can verify that without it the call to np.unique releases GIL and is interleaved with the ping call).
TLDR; The semantics of axis argument is different for np.sort/cumsum and np.unique calls: while for np.sort/cumsum the operation is performed vectorized "in" that axis (i.e., sorting several arrays independently), the np.unique is performed on slices "along" that axis, and these slices are non-trivial data types, hence they require Python methods.
With the axis=0, what numpy does is that it "slices" the array in the first axis, creating a ndarray with shape (2000, 1), each element being an "n-tuple of values" (its dtype is an array of dtypes of the individual elements); this happens at https://github.com/numpy/numpy/blob/7de0fa959e476900725d8a654775e0a38745de08/numpy/lib/arraysetops.py#L282-L294 .
Then a ndarray.sort method is called at https://github.com/numpy/numpy/blob/7de0fa959e476900725d8a654775e0a38745de08/numpy/lib/arraysetops.py#L333. That in the end calls https://github.com/numpy/numpy/blob/7de0fa959e476900725d8a654775e0a38745de08/numpy/core/src/multiarray/item_selection.c#L1236, which tries to release GIL at line https://github.com/numpy/numpy/blob/7de0fa959e476900725d8a654775e0a38745de08/numpy/core/src/multiarray/item_selection.c#L979 , whose definition is at https://github.com/numpy/numpy/blob/7de0fa959e476900725d8a654775e0a38745de08/numpy/core/include/numpy/ndarraytypes.h#L1004-L1006 -- so the GIL is released only if the type does not state NPY_NEEDS_PYAPI. However, given that the individual array elements are at this point nontrivial types, I assume they state NPY_NEEDS_PYAPI (I would expect for example comparisons to go through Python), and the GIL is not released.
Cheers.
QUESTION
I have a flutter app in which I have generated app icons for under the android folder of the project with the image asset tool that comes with android studio. On certain versions of android however neither this icon or flutter's default icon displays which seems to tell me this isn't just an issue with the icons I've provided, I instead get the default green android as such:
The screenshots above have come from an android 5 emulator (albeit quite old now its still technically supported by flutter so I wanted to test this) and I get the same problems on a physical device running android 7, but the icon seems to appear fine on any versions above. Something else I have noticed is that no app name appears in the multitasking menu but I'm not sure if that is a completely unrelated issue.
If anyone could help me that would be great, as I can't figure out what other icons I need to place in the project as I thought I'd covered all options. Thanks.
Edit- This is the android manifest for my app:
...ANSWER
Answered 2021-May-11 at 18:29Follow these Steps to Change/Customize Launcher Logo in Android Studio,
*Expand the project root folder in the Project View
*Right Click on the app folder
*In the Context Menu go to New->Image Asset
*In the pop up that appears select the the new logo you would like to have(image/clip art/text).
*If you were selecting the image radio button (as is the default choice), if you clicked on the 3-buttons to show the path tree to locate your .png image file, most probably you might not be seeing it, so drag it from the Windows Explorer (if Windows) and drop it in the tree, and it will appear and ready for being selected.
**Don't forget to set new icon's location in manifest: replace drawable to minimap in android:icon –
..........Mipmap Solution: As you can see this Snapshot, I set Mipmap for every version, you can follow this also, You have to create an XML file for anydpi-v26
QUESTION
I'm passing by an issue on my Twilio TaskRouter configuration. The thing is that I need to address an incoming task to the worker who has lesser tasks assigned to him/her, not to the longest idle worker (as is the default).
According to Twilio's multitasking documentation, each worker has an assigned_tasks attribute inside their channels. So, I have tried to use this attribute into my order_by clause but it seems not to be working.
...ANSWER
Answered 2021-Apr-09 at 14:33According to Twilio's Support, it's not possible to order my workers by their number of task assignments. Instead of this, they advised me to create lots of filter steps based on a specific value for this worker attribute.
So, this is my workflow now:
QUESTION
app.post('/api/auth/check', async (req, res) => {
try {
const browser = await puppeteer.launch();
const page = await browser.newPage();
await page.goto(
'https://www.google.com'
);
res.json({message: 'Success'})
} catch (e) {
console.log(e);
res.status(500).json({ message: 'Error' });
}});
app.post('/api/auth/register', async (req, res) => {
console.log('register');
// Here i'm need to transfer the current user session (page and browser) and then perform actions on the same page.
await page.waitForTimeout(1000);
await browser.close();
}});
ANSWER
Answered 2021-Apr-05 at 00:30One approach is to create a closure that returns promises that will resolve to the same page and browser instances. Since HTTP is stateless, I assume you have some session/authentication management system that associates a user's session with a Puppeteer browser instance.
I've simplified your routes a bit and added a naive token management system to associate a user with a session in the interests of making a complete, runnable example but I don't think you'll have problems adapting it to your use case.
QUESTION
So I have been trying to get the grasp for quite some time now but couldn't see the sense in declaring every controller-endpoint as an async method.
Let's look at a GET-Request to visualize the question.
This is my way to go with simple requests, just do the work and send the response.
...ANSWER
Answered 2021-Mar-26 at 13:36If your DB Service class has an async method for getting the user then you should see benefits. As soon as the request goes out to the DB then it is waiting on a network or disk response back from the service at the other end. While it is doing this the thread can be freed up to do other work, such as servicing other requests. As it stands in the non-async version the thread will just block and wait for a response.
With async controller actions you can also get a CancellationToken which will allow you to quit early if the token is signalled because the client at the other end has terminated the connection (but that may not work with all web servers).
QUESTION
So, originally I was doing something that was meant to go like this:
...ANSWER
Answered 2021-Mar-25 at 16:56I needed to use processes rather than using ShellExecute: the Pascal code is given in my edited OP and anything using Windows will be similar.
QUESTION
I want to send notifications from an android device to multiple android devices and I am using FCM to send notifications but the problem is I am not receiving any thing. I followed some tutorials and as well as some links here on stackoverflow but I don't understand what am I doing wrong. I tried to send notification using retrofit and okhttp but I can't seem to generate the notification. From Firebase Console I can generate the notification but not from android app.
Using Retrofit Retrofit code ...ANSWER
Answered 2021-Mar-17 at 13:27Below code will send notification to a group of device that are subscribed to the topic called topicName.
QUESTION
I trained a multitask model using allennlp 2.0 and now want to predict on new examples using the allennlp predict command.
Problem/Error:
I am using the following command: allennlp predict results/model.tar.gz new_instances.jsonl --include-package mtl_sd --predictor mtlsd_predictor --use-dataset-reader --dataset-reader-choice validation
This gives me the following error:
...ANSWER
Answered 2021-Feb-26 at 21:03There are two issues here. One is a bug in AllenNLP that is fixed in version 2.1.0. The other one is that @sinaj was missing the default_predictor in his model head.
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Install multitask
After training (you can interrupt at any time), you can visualize the neural activity using. This will plot some neural activity. See the source code to know how to load hyperparameters, restore model, and run it for analysis.
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