Theano | Python library that allows you to define optimize
kandi X-RAY | Theano Summary
kandi X-RAY | Theano Summary
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara
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Top functions reviewed by kandi - BETA
- Scan function .
- returns the cblas header text
- Summarize memory .
- Pretty print a function .
- Populate the grad_dict for each node .
- Helper function for c_code_helper .
- Return True if the logarithmic negation logarithmic operator is true .
- Refresh the directory .
- Implementation of ger_code .
- Unroll batch_kern .
Theano Key Features
Theano Examples and Code Snippets
def fit(self, X, Y, batch_sz=20, learning_rate=1.0, mu=0.99, reg=1.0, activation=T.tanh, epochs=100, show_fig=False):
D = X[0].shape[1] # X is of size N x T(n) x D
K = len(set(Y.flatten()))
N = len(Y)
M = self.M
def fit(self, X, Y, learning_rate=0.1, mu=0.99, reg=1.0, activation=T.tanh, epochs=100, show_fig=False):
D = X[0].shape[1] # X is of size N x T(n) x D
K = len(set(Y.flatten()))
N = len(Y)
M = self.M
self.f = ac
Community Discussions
Trending Discussions on Theano
QUESTION
I'm trying to study the neural-network-and-deep-learning (http://neuralnetworksanddeeplearning.com/chap1.html). Using the updated version for Python 3 by MichalDanielDobrzanski (https://github.com/MichalDanielDobrzanski/DeepLearningPython). Tried to run it in my command console and it gives an error below. I've tried uninstalling and reinstalling setuptools, theano, and numpy but none have worked thus far. Any help is very appreciated!!
Here's the full error log:
...ANSWER
Answered 2022-Feb-17 at 14:12I had the same issue and solved it downgrading numpy to version 1.20.3 by:
QUESTION
I am trying to run this reading-text-in-the-wild on Mac M1. When I attempt to run this code
...ANSWER
Answered 2022-Jan-17 at 17:39the package you are using is not compatible with the new mac hardware by the looks of it. You will need to run this using Rosetta 2, which is an apple system component.
QUESTION
I will try to be as much help as I can, but this is certainly a bit out of my depth.
I am trying to run the metagenomics package 'DeepVirFinder' on my fasta file 'my_seqs.fa' within terminal on my Mac. I have followed the GitHub repository instructions (as found here https://github.com/jessieren/DeepVirFinder). I have created a conda environment with all the necessary packages.
Into my terminal I have inputted
...ANSWER
Answered 2022-Mar-03 at 17:40Apologies - I found out it was an error between h5py and tensorflow. Had to downgrade h5py to 2.10.0.
QUESTION
I have to do something like this:
...ANSWER
Answered 2021-Nov-25 at 14:05In theano you first need to define your variables as symbols. Then you define a function with those symbols. A theano.function has a List of input parameters and the function which should be executed as parameters.
Once that is done, you can compute your function by substituting the symbols with actual values.
QUESTION
As I understand, you need to call tensor.contiguous()
explicitly whenever some function or module needs a contiguous tensor. Otherwise you get exceptions like:
ANSWER
Answered 2021-Nov-04 at 13:59From the pytorch documentation: contiguous() → Tensor. Returns a contiguous tensor containing the same data as self tensor. If self tensor is contiguous, this function returns the self tensor.
QUESTION
I'm trying to include a black box likelihood function in a pymc3 model. This likelihood function just takes a vector of parameter values and returns the likelihood (all data is already included in the function).
So far I've been following this guide and have modified the code as follows to accommodate the fact my model only has one parameter k.
...ANSWER
Answered 2021-Nov-05 at 09:42As per the comments I checked out this thread and discovered that pm.potential really was the cleanest way to achieve black-box likelihood. Modifying the code above as follows did the trick:
QUESTION
data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data
I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.
...ANSWER
Answered 2021-Oct-11 at 14:21geopandas 0.10.1
- have noted that your data is on kaggle, so start by sourcing it
- there really is only one issue
shapely.geometry.MultiPoint()
constructor does not work with a filtered series. Pass it a numpy array instead and it works. - full code below, have randomly selected a point to serve as
gpdPoint
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 am trying to determine the parameters mu1, mu2, sigma1, sigma2, and w of a bimodal distribution using pymc3. I use the following code:
...ANSWER
Answered 2021-Sep-01 at 18:11Using pdb I stepped through and found that the error was on this line:
return np.log(w * norm.pdf(y, mu1, sigma1) + (1-w) * norm.pdf(y, mu2, sigma2)).sum()
because scipy.stats.norm
doesn't know how to deal with pymc/Theano objects. While I'm sure there's an easy way to get a normal density from pymc3 objects, it's also straightforward to define a function to calculate it ourselves:
QUESTION
I’m trying to use PyMC3 Minibatch ADVI for Bayesian Regression. The pm.fit function throws the following error and I’m not sure how to fix it.
It says that the ‘str’ object has no attribute ‘type’. What is any ‘str’ object from the error message here? I’ve mapped float tensors for more_replacements to the best of what I know.
...ANSWER
Answered 2021-May-31 at 17:34The blog post you are working from shows
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install Theano
You can use Theano 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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