#### deep learning - how convolution neural network maps pooling layer to convolution layer in terms of connection

I am unable to post image because reputation.Yo can look at image at this url. http://fastml.com/images/cifar/lenet5.pngIn architecture of CNN How (a#### convolution - Implementing joint learning in keras

i am trying to implement a model that is composed of two layers to segment object candidates in kerasSo basically this model has the following archite#### computer vision - Is it possible to train an SVM or Random Forest on the final layer feature of a Convolutional Neural Network using Keras?

I have designed a Convolutional Neural Network in Keras for image classification with several convolution/max-pooling layers, one densely connected hi#### python - How to convert a dense layer to an equivalent convolutional layer in Keras?

I would like to do something similar to the Fully Convolutional Networks paper (https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf) usin#### conv neural network - CNN architecture

At first, this question is less about programming itself but about some logic behind the CNN architecture.I do understand how every layer works but my#### machine learning - Why would a DQN give similar values to all actions in the action space (2) for all observations

I have a DQN algorithm that learns (the loss converges to 0) but unfortunately it learns a Q value function such that both of the Q values for each of#### python - Keras: ValueError: Negative dimension size caused by subtracting 5 from 1

When I try to define my model, I get the following error message: ValueError: Negative dimension size caused by subtracting 5 from 1 for 'conv2d_19/co#### keras - LSTM with variable sequences & return full sequences

I am wondering how I would set up a keras model such that the final LSTM layer outputs a prediction for each time step while having variable sequence#### deep learning - How to use return_sequences option and TimeDistributed layer in Keras?

I have a dialog corpus like below. And I want to implement a LSTM model which predicts a system action. The system action is described as a bit vector#### python - 4D LSTM: Trouble with I/O Shapes

I'm trying to get a 4D TimeDistributed(LSTM(...)) to work in Keras, but I'm having a problem with the input/output shapes.batch_size = 1model = Sequen#### conv neural network - Keras LSTM --> CNN Dimension Error

Here is the model: model.add(LSTM(24, input_shape=(120,26), return_sequences = True, activation = 'relu'))model.add(convolutional.Conv1D(filters = 1,#### deep learning - Keras LSTM input - Predicting a parabolic trajectory

I want to predict the trajectory of a ball falling. That trajectory is parabolic. I know that LSTM may be too much for this (i.e. a simpler method cou#### tensorflow - What is the role of TimeDistributed layer in Keras?

I am trying to grasp what TimeDistributed wrapper does in Keras.I get that TimeDistributed "applies a layer to every temporal slice of an input."But I#### keras - Predicting a multiple forward time step of a time series using LSTM

I want to predict certain values that are weekly predictable (low SNR). I need to predict the whole time series of a year formed by the weeks of the y#### python - LSTM Autoencoder on timeseries

I'm currently trying to implement an LSTM autoencoder to be used in order allow compression of transactions timeseries (Berka dataset) into a smaller#### neural network - Building an LSTM net with an embedding layer in Keras

I want to create a Keras model consisting of an embedding layer, followed by two LSTMs with dropout 0.5, and lastly a dense layer with a softmax activ#### python - How to train and predict Keras LSTM with time series data?

I have figured out how to train a LSTM using just values, but what would the data look like if I wanted to include the time? Perhaps input dimension#### keras - Input LSTM on multivariate time series

I am trying to use LSTM for time series predictions on multivariate data. I have 50000 samples with 15 dimensions. I want to use look back of 10. What#### predict with different time step in LSTM using keras

I am using keras to predict time series with LSTM and I realize that we can predict using datas that has not the same timestep than the ones we used t#### python - Time Series Prediction with LSTM in Keras

I am a beginner in Deep learning. I am implementing LSTM using the keras library, to predict the weather data, I have train and test data. After remov#### python - Keras LSTM for timeseries prediction: predicting vectors of features

I have a timeseries dataset with N observations and F features. Every feature can either manifest (1) or not manifest (0). So the dataset would look l#### [keras]Many to many probability prediction using LSTM

My problem is to predict the error probability of a time series data.In the data, we have (n_samples, timesteps, features), where timesteps are the ma#### python - ImportError: No module named Image

This question already has an answer here: The problem with installing PIL using virtualenv or buildout#### linux - My python installation is broken/corrupted. How do I fix it?

I followed these instructions on my RedHat Linux version 7 server (which originally just had Python 2.6.x installed):beginning of instructions install#### python - make .py file executable in ubuntu 15.04

I am running ubuntu 15.04. I have a simple python programme test.py #!/user/bin/pythonprint "hello, python"I want to make test.py file executable. Cur#### Input shape issue when using Keras LSTM with Tensorflow

I have been using Keras (version 1.1.1) LSTM with Theano as backend without any problem. Now I would like to switch to Tensorflow (version 0.8.0) and#### python - 3D Convolutional Neural Network input shape

I'm having a problem feeding a 3D CNN using Keras and Python to classify 3D shapes. I have a folder with some models in JSON format. I read those mode#### python: error while loading shared libraries: libpython3.4m.so.1.0: cannot open shared object file: No such file or directory

I have created a python virtual environment using virtualenv, after activating it, I can see where is Python installed, (virtualenv-test) bash-4.1$ w#### macos - jupyter in virtualenviroment sys.path

This question already has an answer here: Jupyter Notebook in virtual environment doesn't see the virtual env packages#### python - How to use virtualenv with python3.6 on ubuntu 16.04?

I'm using Ubuntu 16.04, which comes with python2.7 and python3.5.So I've installed python3.6 on it and symlink python3 to python3.6 through alias pyth