keras with a new API.
Keras API will now become available directly as part of tensorflow
Questions tagged [keras-2]
264 questions
2
votes
1 answer
Keras callbacks Tensorboard multi-output Error
I can't figure out what is causing this error for multi-output Keras Model when using callbacks.TensorBoard.
tbCallBack = keras.callbacks.TensorBoard(log_dir = logdir, histogram_freq = 1, write_graph = 1, write_images = 0, write_grads = 1)
###No…
Roy
- 45
- 7
2
votes
0 answers
Keras implementation of skip-gram word embeddings is very slow
I am trying to train skip-gram word embeddings using the example posted at
https://github.com/nzw0301/keras-examples/blob/master/Skip-gram-with-NS.ipynb
on a GPU GeForce GTX 1080 using the english Wikipedia (~100M sentences).
The training time is…
aelgohary
- 21
- 3
2
votes
1 answer
How to read multiple images in keras presented in a folder?
I want to read multiple images presented in folder and process them one after another continuously. I am using keras and theano as backend. How can I do that?
Rajesh
- 221
- 4
- 16
1
vote
1 answer
How to fix "cannot import name '__version__' from 'tensorflow.keras'"?
Trying to import DQNAgent like this
from rl.agents.dqn import DQNAgent
I get the following error:
cannot import name '__version__' from 'tensorflow.keras'
The installed versions are:
Tensorflow: 2.13.0, Keras: 2.13.1, Keras-rl2: 1.0.5
I am using…
scopchanov
- 7,966
- 10
- 40
- 68
1
vote
0 answers
load_model with a metric
I save a model with a metric I defined as it is done here .
Were they do the following:
def get_lr_metric(optimizer):
def lr(y_true, y_pred):
return optimizer.lr
return lr
optimizer = keras.optimizers.Adam()
lr_metric =…
Ido
- 65
- 6
1
vote
1 answer
Tensorflow: How to use a generator for fit() which runs in parallel with multiple processes
I am trying to train a model on a data set which does not fit in my RAM.
Therefore I am using a data generator which inherits from tensorflow.keras.utils.Sequence as shown below.
This is working. However because I am doing processing on the images…
CaptainDario
- 83
- 1
- 7
1
vote
1 answer
Regression with Keras API not giving consistent result
I am doing a comparative study on a simple regression (one independent variable and one target variable) in two ways:- LinearRegression vs neural network (NN - Keras API). My sample data as follows:
x1 y
121.9114 121.856
121.856 …
LearningPython
- 61
- 7
1
vote
0 answers
TypeError: can't pickle _thread.RLock objects -- when trying to save experiments done with keras
I have run some experiments saved the results of each experiment in a dictionary and then stored the individual dictionaries in another dictionary. But I can not save this dictionary. Here is my code:
def f_compile_fit_evaluate_model1(filters1,…
user8270077
- 4,621
- 17
- 75
- 140
1
vote
0 answers
implementing focal loss on large CNN
I have an image binary classification problem, with only 15% of the data from class 1, and 85% of it is from class 0.
I decided to work with focal loss to deal with the unbalanced dataset and noticed something. When I use a fairly simple cnn, I see…
toxin9
- 81
- 7
1
vote
1 answer
How to get the dictionary output from a generator, which outputs an array with a dictionary for custom keras image generator
I have a custom made generator to output multiple values to predict against. I'm trying to get the values to correspond to a given image, without success. Here is my output:
e(array([[[[0., 0., 0.],
[0., 0., 0.],
[0., 0., 0.],
…
Steve-0 Dev.
- 1,008
- 1
- 7
- 11
1
vote
1 answer
Python Keras LSTM 'ValueError: `start_index+length='
I am trying to implement Keras LSTM for the airpassenger dataset. It generates the following error.
ValueError: `start_index+length=12 > end_index=11` is disallowed, as no part of the sequence would be left to be used as current step
Here is what I…
Totura
- 19
- 1
- 7
1
vote
1 answer
How to retrieve intermediate predictions results in a loop
Need to calculate time of the prediction results of each layer and pass the output of the model as an input to another layer. Treating each layer as a model and getting the intermediate results and passing those results to the next. When I try to…
user11549734
1
vote
2 answers
how to do custom keras layer matrix multiplication
Layers:
Input shape (None,75)
Hidden layer 1 - shape is (75,3)
Hidden layer 2 - shape is (3,1)
For the last layer, the output must be calculated as ( (H21*w1)*(H22*w2)*(H23*w3)), where H21,H22,H23 will be the outcome of Hidden layer 2, and…
karun reddy
- 33
- 6
1
vote
0 answers
Keras predict diabetic retiopathy
I'm trying to predict a diabetic retiopathy by using densenet121 model from keras.
I have a 5 folder that contain 0:3647 images 1:750 images 2:1105 images 3:305 images 4:193 images
train data have 6000 image
and validate data have 1000 image and…
Newturno
- 11
- 4
1
vote
1 answer
Loading ensemble keras model gives ValueError: Invalid input_shape argument (None, 224, 224, 3): model has 0 tensor inputs
My model is an ensemble of 2 different keras models, the models are connected to same input layer and have 2 output layers when combined.
Both models are pretrained and I am trying to create a parallel architecture.
My architecture is…
SajanGohil
- 960
- 13
- 26