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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
29
votes
2
answers
30k
views
What is the difference between fit() and fit_generator() in Keras?
What is the difference between fit() and fit_generator() in Keras?
When should I use fit() vs fit_generator()?
1
vote
0
answers
474
views
Adding layers in the middle of the deep learning model [closed]
I want to add new layers to a complex CNN model in Keras, how can I add a new layers in the middle of the sequential deep learning model?
2
votes
1
answer
1k
views
Display images after augmentation in Keras
How can I display all images after augmentation?
How can I get the number of the trained data after augmentation?
Thank you
1
vote
0
answers
83
views
Display tested batch and its predicted label in Keras [closed]
I am using Keras to create a deep learning model (CNN), how can I display all tested batch images and its predicted label?
3
votes
1
answer
3k
views
L2 regularization increase the loss rate of the deep learning model
When I add L2 regularization to my deep learning model the training and validation loss rate is increased.
Why ????
2
votes
1
answer
188
views
How to train convolutional neural networks on unbalanced datasets of images?
How can I train convolutional neural networks on unbalanced datasets of images?
My dataset has around 400 classes and the classes have different number of images..
3
votes
1
answer
258
views
What is the main goal of using activation function in CNN?
What is the main goal of using an activation function in CNN?
I know the activation functions types and the purpose of each one. But here I am asking why to use them.
2
votes
1
answer
332
views
I do not understand the prediction result of the CNN model
I have used the following model:
Layer (type) Output Shape Param #
=================================================================
block1_conv1 (Conv2D) (None …
1
vote
1
answer
532
views
How to know if the deep learning model is overfitting or not?
I created a deep learning (CNN) model, I used data augmentation and two dropout layers (0.5).
How to know if the deep learning model is overfitting or not?
1
vote
0
answers
866
views
Examples for multi-input Convolutional Neural Network
I want to create a multi inputs Convolutional Neural Network (cnn) that takes two inputs and produces one output of the inputs class by using Keras. I searched for resources that explain multi inputs …
2
votes
1
answer
173
views
How to determine the number of forward and backward passes in deep learning (CNN)? [closed]
Is there a way to determine the number of forward and backward passes in the training of a neural network using python?
0
votes
1
answer
1k
views
The effect of the image type and the image conversion on deep learning CNN model
Does the type of the image affects (jpg, png, bmp) on the CNN deep learning algorithm?
Dose converting the image type affects on the CNN deep learning algorithm (ex. converting bmp to jpg or ppm to j …
5
votes
1
answer
376
views
Data augmentation parameters
When I use data augmentation to increase the train dataset, should I use all augmentation techniques (parameters in keras)?
Which data augmentation parameters should use with flow_from_directory?
2
votes
2
answers
4k
views
How to merge two CNN deep learning model using weighted sum and weighted product in Keras?
I am using Keras to create a deep learning model and I want to merge two CNNs by using weighted sum or weighted product.
How can I merge two CNNs using weighted sum and weighted product?
0
votes
1
answer
99
views
Using cloud to create CNN model
Are there any differences in the results of training the deep learning algorithm (CNN) using a device with a GPU and using any device with a cloud service such as AWS and Floydhub?