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1 vote
0 answers
194 views

How to predict the class probability with an array

I have an array of data and I'm trying to predict the probability if it's 1 or 0 I have a data set with more than 3000 rows as features and output data is either 1 or 0. I'm quite new with neural ...
Jerry's user avatar
  • 77
0 votes
1 answer
407 views

I'm facing below issue whe I train the model using VGG16

I am facing the following issue, when trying to fit my model: ValueError: Input 0 of layer "model" is incompatible with the layer: expected shape=(None, 256, 96, 3), found shape=(None, 1, 8, ...
Fazlan Ahamed's user avatar
0 votes
0 answers
1k views

Why the accuracy and val_accuracy are stuck at 0 LSTM Keras classification

I'm trying to train a neural network for classification. The target labels are -1 or 1. The neural network is as follows: def build_nn(window,n_features,lr = 0.001): _input = Input(shape = (window,...
Pedro Pablo Severin Honorato's user avatar
1 vote
0 answers
87 views

In the classification of three classes, accuracy does not improve by 46% under any circumstances

i have a network for classify data into 3 class.data are 13760 Two-dimensional array with 19 row and 1280 column and data type is float(In fact, my data is eeg). first trained network by convolution ...
Saman Fouladi's user avatar
3 votes
0 answers
341 views

Loaded Keras model from .h5 file is not predicting correctly like the original one after training

I am new to ML and I am trying to play a little with this tutorial: https://medium.com/@ferhat00/deep-learning-with-keras-classifying-cats-and-dogs-part-2-21b3b25bbe5c . Anyway, the CNN seems to work ...
Frank's user avatar
  • 69
0 votes
0 answers
158 views

Good Accuracy + Low Val_loss but very bad predictions

Going straight to the problem... I am using Keras flow_from_directory to load the data for sound classification. Data_generator without any augmentation and shuffle =True and although most of my ...
DimMell's user avatar
-1 votes
2 answers
296 views

Neural Network doesn't learn - simple classification problem

I am currently trying to learn simple neural network recognize 4 different outputs. There are 2-value-inputs which are actually something like this: output + uniform(-0.2,0.2) + 1 There are only 200 ...
Pigeonnn's user avatar
2 votes
1 answer
6k views

How to find the wrong predictions in Keras?

I have built a Keras model for extracting information from a raw input of text input. I am getting an accuracy of 0.9869. How can I know which of the training data is making the accuracy go low? I ...
Geeth Govind S's user avatar
0 votes
1 answer
446 views

How to loop when predicting in keras text classification model

I am new to keras. I wrote a text classification model and when making predictions for one input ,I am geting the right predictions as shown below: text=["Cancelling insurance cover that is in excess ...
user8720570's user avatar
3 votes
1 answer
181 views

ValueError: Error when checking target: expected dense_3 to have shape (1,) but got array with shape (6,)

I'm trying to run a multi class classification using the following ANN model: classifier = Sequential() classifier.add(Dense(units = 9, kernel_initializer = 'uniform', activation = 'relu', input_dim ...
Arkistarvh Kltzuonstev's user avatar
0 votes
1 answer
493 views

Keras - steps_per_epoch calculation not matching with the ImageDataGenerator output

I am working on a basic Classification task with Keras and I seem to have stumbled upon a problem where I need some assistance. I have 200 samples for training and a 100 for validation, I intend to ...
Jalashwa's user avatar
2 votes
1 answer
3k views

How to increase the accuracy of the keras model and prevent overfitting

I am trying to train model.add(Conv2D(32, (3, 3), kernel_initializer='random_uniform', activation='relu', input_shape=(x1, x2, depth))) model.add(MaxPool2D(pool_size=(2, 2))) model.add(Dropout(0.5)) ...
Sarvagya Gupta's user avatar
5 votes
1 answer
118k views

NameError: name 'image' is not defined

I am getting the error in the post title when I attempt to run a pretrained MobileNet classification. The image I am using to run the script is located in my 'MobileNet-inference-images/American_Cam....
Steve's user avatar
  • 515
-2 votes
1 answer
674 views

how to reshape a dataset for RNN/LSTM model? [duplicate]

I am trying to build an RNN/LSTM model for binary classification 0 or 1 a sample of my dataset (patient number, time in mill/sec., normalization of X Y and Z, kurtosis, skewness, pitch, roll and yaw, ...
Hadeer El-Zayat's user avatar
0 votes
0 answers
43 views

How to insert word on specific position in vector Keras

How to insert word on specific position in vector using Keras and pad_sequence? For example I have sentence: 1) XYZ1 is a specific word 2) Specific word is a XYZ1 Above we have 5 unique tokens: ...
balarin's user avatar
  • 31

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