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serali's user avatar
serali's user avatar
serali
  • Member for 5 years, 4 months
  • Last seen more than 1 year ago
1 vote

How does TensorFlow handle multiple samples?

0 votes

Working of Dense Layer

0 votes

How do I feed my keras model in batches?

1 vote
Accepted

Number of parameters in CNN

1 vote
Accepted

Robustness vs Generalization

0 votes

How can I get the type of fitting in this curve?

1 vote

How can I model this problem to train a Machine learning model

0 votes
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Tune learning rate while tuning other HP

0 votes

Visualize 2D data in a completely filled square 2D grid, along two ordered axes

1 vote

Why does stochastic gradient descent lead us to a minimum at all?

3 votes

Does One-Hot encoding increase the dimensionality and sparsity of dataset?

0 votes
Accepted

Cleaning rows of special characters and creating dataframe columns

1 vote
Accepted

Does gradient descent always find global minimum for specific regression type?

-1 votes

Removing the outliers improved my models, is what I did good or bad?

-1 votes

How many layers of a pretrained model shoud be frozen?

4 votes

What is glorot uniform?

1 vote

Can you explain how these precision, recall and purity are calculated in this context?

0 votes

What (linear) model is common practice to use on sample size of 500 with 26 features?

0 votes

predict a binary vector of size 40

0 votes
Accepted

Pre trained dataset for Car damage detection

2 votes
Accepted

Where can I find study materials?

1 vote
Accepted

Difference in result in every run of Neural network?

0 votes

Which algorithm to use to classify plots based on graphical features?

1 vote

Loading medical imaging data from multiple folders

1 vote

Replace nan with sequence of values

2 votes
Accepted

Keras: Custom output layer for multiple multi-class classifications

0 votes

How does Gradient Descent work?

0 votes

Numpy array vs Pandas DataFrame when training

0 votes

How do I deal with unbalance classes in a stock market prediction problem?

0 votes

CNN: visualize a model using its description