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Results tagged with training
Search options questions only
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user 31388
For questions about training networks, rules systems, or other AI system components.
1
vote
1
answer
41
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Semantic issues with predictions made by my trained model
predicted_class= np.argmax(results)
acc = 100*results[0][predicted_class]
print("Network prediction is: file: "+ file+", "+dictionary[predicted_class]+", %{:0.2f}".format(acc))
And here is the training … ,validation_split=0.2)
train_generator = train_datagen.flow_from_directory(TRAIN_DIR, target_size=(HEIGHT, WIDTH), batch_size=BATCH_SIZE
,subset="training …
- 983
1
vote
0
answers
59
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How to change the architecture of my simple sequential model
After training, I realized this model is accurate when the fire scene is simple and visible, but if many objects inside or fire is a bit smaller, it fails to detect. … Here is my original training code:
from keras.models import Sequential, load_model
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.layers.normalization …
- 983
2
votes
0
answers
614
views
Relationship between model complexity (depth) and dataset size
I'm new to deep learning. I was wondering what's the relationship between a deep model complexity (e.g. total number of parameters, or depth) and the dataset size?
Assuming I want to do a binary cla …
- 983
2
votes
1
answer
146
views
How many layers exists in my neural network?
I have a neural network model defined as below. How many layers exist there? Not sure which ones to count when we are asked about the number.
def create_model():
channels = 3
model = Sequenti …
- 983
1
vote
0
answers
47
views
Steps to train and re-train a good model
I train with 0.2/0.8 validation/training split. Now I test it on some videos, and I found some false positives. … What is the best practice in training/re-training a good model? How should I evaluate my models? …
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1
vote
1
answer
127
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Choosing Data Augmentation smartly for different application
I'm trying to understand the role of data augmentation and how it can affect the performance/accuracy of a deep model. My target application is fire detection (on video frames), with almost 15K positi …
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3
votes
2
answers
1k
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Should I choose the model with highest validation accuracy or the model with highest mean of...
Once in a while, I collect some false positives and add them to my training sets and re-train for higher accuracy.
I split my training into 20/80 percent for training/validation sets. … Epoch #38: training acc: 0.924, validation acc: 0.944
Epoch #90: training acc: 0.952, validation acc: 0.932 …
- 983