Category "keras"

How to overcome value error python model prediction?

I have trained a model and now my task was to test it on unseen images from the internet. Originally the model was trained on CIFAR-10 so for the model I chose

Why is my tensorflow model transforming binary classification labels from 0 and 1 to .7?

I have been working on a tensorflow model that predicts short term positive and negative trends in the stock market using momentum indicators. I have the model

cannot import name 'BatchNormalization' from 'keras.layers.normalization'

I'm learning ObjectDetection from this website I have installed ImageAI,Tensorflow and Keras. Then when I run this in python from imageai.Detection import O

Weird behaviour when finetuning Huggingface Bert model with Tensorflow

I am trying to fine tune a Huggingface Bert model using Tensorflow (on ColabPro GPU enabled) for tweets sentiment analysis. I followed step by step the guide on

model training got stuck after first epoch got completed...2nd epoch won't even start and not throwing any error too it justs stay idle

screenshot showing the model training stuck at epoch 1 without throwing error I am using google colab pro and here is my code snippet batch_size = 32 img_heigh

Negative dimension size caused by subtracting 3 from 1 for 'conv2d_2/convolution'

I got this error message when declaring the input layer in Keras. ValueError: Negative dimension size caused by subtracting 3 from 1 for 'conv2d_2/convolu

Tensorflow gpu - out of memory error, the kernel appears to have died

Here is my classification problem : Classify pathological images between 2 classes : "Cancer" and "Normal" Data sets contain respectively 150 000 and 300 000 im

copy/clone of keras subclassed models with custom attributes

I have a subclassed model with some custom attributes like this: class MyModel(tf.keras.Model): def __init__(self, *args, my_var, **kwargs): super()

copy/clone of keras subclassed models with custom attributes

I have a subclassed model with some custom attributes like this: class MyModel(tf.keras.Model): def __init__(self, *args, my_var, **kwargs): super()

Is there a way to get the real sequence_length in the model description of a RNN/LSTM in Keras?

I would like to get to know the real sequence_length in Keras for a LSTM/RNN. Unfortunately, when I print the model I only get None all the time as a value. Her

Trying to write a custom loss function in tensorflow

I am trying to make a custom loss function where I perform an inverse fast Fourier transform to a set of data and then do the following calculations. When I run

Talos, syntax to select best_model

I'm running a toy model for learning, on Ubuntu 21.10, in a conda environment that comprises python 3.74, keras 2.4.3 and talos 1.0, among many other packages.

Negative dimension size error in tensorflow [duplicate]

so I have 2 images, img1 and img2 both with shape=(20,20), to which I expand_dims to (1,20,20) 1 being batch size and feed them to the network

Multi input problem Keras. Expected to see 2 array(s), but instead got the following list of 1 arrays

I have a model that takes two inputs of the same shape (batch_size,512,512,1), and predict two masks each of shape (batch_size,512,512,1). dataset_input = tf.da

Use Keras Neural Translation Model (h5 format model) in spacy v3

first 'im not a developer by trade, my developer is not available for health reasons but i have some experience in python/spacy development. I need some guidanc

Keras: Having trouble converting depreciated 'merge' layer to new version

I am trying to implement this model: https://github.com/abhishekkrthakur/is_that_a_duplicate_quora_question/blob/master/deepnet.py but it is from an older versi

How do you compile mixed data types for tensorflow?

I am trying to make a mixed dataset but I am struggling. I want to use an image and float value for the inputs. Then output a linear regression. I've tried rese

TensorFlow: TypeError when itterating through model architectures

I have a script which goes through a simple 2d CNN and I'm trying to run through a range of different values for the number of layers and neurons per layer in m

Weighted categorical cross entropy

please I'm trying to build an NLP classifier on top of BERT but I'm struggling with data imbalance. I'm looking for an implementation of weighted CategoricalCro

Model accuracy not improving in CNN for image classification

I am using ResNext architecture for classification. the training dataset contains approximately 31000 images distributed among 61 classes. And validation datase

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