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Top 62 Keras Interview Questions
Entry Junior Mid Senior Expert
Keras Theoretical Questions
Q1:
In the EarlyStopping callback, when would you use mode='min' vs mode='max'?
EarlyStopping callback, when would you use mode='min' vs mode='max'? Junior
Q2:
Name the different ways to build a model with Keras that you know
Junior
Q3:
What do compile, fit, and predict do in Keras sequential models?
compile, fit, and predict do in Keras sequential models? Junior
Q4:
What is the difference between predict and predict_on_batch methods of a Keras model?
predict and predict_on_batch methods of a Keras model? Junior
Q5:
What is the difference between Keras model.evaluate() and model.predict()?
model.evaluate() and model.predict()? Junior
Q6:
What is the difference between model.fit() and model.evaluate() in Keras?
model.fit() and model.evaluate() in Keras? Junior
Q7:
What is the use of verbose in Keras while validating the model?
verbose in Keras while validating the model? Junior
Q8:
How to get layer shapes in a Sequential model?
Sequential model? Junior
Q9:
What does the Flatten layer do in Keras?
Flatten layer do in Keras? Junior
Q10:
What's the difference between units, input shape and output shape in a Keras Layer class?
Layer class? Junior
Q11:
What is a callback in Keras and when is useful?
Junior
Q12:
What are kernel_initializers in Keras and what is their significance?
kernel_initializers in Keras and what is their significance? Junior
Q13:
How is defined the Input Layer in Keras?
Junior
Q14:
How can I interrupt training when the validation loss isn't decreasing anymore?
Junior
Q15:
Why would you use initial_epoch in a Keras Model?
initial_epoch in a Keras Model?
Mid Q16:
When would you use a Data Generator in Keras?
Mid Q17:
How can you obtain the output of an Intermediate Layer (feature extraction)?
Mid Q18:
What's the difference between trainable_weights and non_trainable_weights in Keras?
trainable_weights and non_trainable_weights in Keras? Mid Q19:
How to create custom metrics with Keras?
Mid Q20:
How to make two parallel convolutional neural networks in Keras?
Mid Q21:
What's the difference between LSTM() and LSTMCell() in Keras?
LSTM() and LSTMCell() in Keras? Mid Q22:
What is the purpose of Untrainable Weights in Keras?
Mid Q23:
Add dropout layers between pretrained dense layers in Keras
Mid Q24:
What's the difference between weight regularization and weight constraints layers?
Mid Q25:
How to set Class Weights for imbalanced classes in Keras?
Mid Q26:
Where would you put a BatchNormalization function in a Keras model?
BatchNormalization function in a Keras model? Mid Q27:
What is the difference between sparse_categorical_crossentropy and categorical_crossentropy?
sparse_categorical_crossentropy and categorical_crossentropy? Mid Q28:
What is the use of train_on_batch() in Keras?
train_on_batch() in Keras? Mid Mid Q30:
What is the difference between an Embedding Layer and a Dense Layer in Keras?
Embedding Layer and a Dense Layer in Keras? Mid Q31:
How to use LeakyRelu as activation function in sequence DNN in Keras?
LeakyRelu as activation function in sequence DNN in Keras? Mid Q32:
Related To: Deep Learning
What's the difference between concatenate and add layers in Keras and when would you use each one?
Related To: Deep Learningconcatenate and add layers in Keras and when would you use each one? Mid Q33:
In Keras, what's the difference between kernel, bias, and activity regularizers, and when to use which?
Mid Mid Q35:
What is the advantage of using Functional vs Sequential models in Keras?
Mid Senior Q37:
What is a Cell Class in Keras?
Senior Q38:
Why would you use a TimeDistributed layer after an LSTM layer?
TimeDistributed layer after an LSTM layer? Senior Q39:
What's the difference between return_sequences and return_states in a LSTM layer in Keras?
return_sequences and return_states in a LSTM layer in Keras? Senior Q40:
How is data processed by an LSTM layer in Keras?
LSTM layer in Keras? Senior Q41:
What is the purpose of the add_loss function in Keras?
add_loss function in Keras? Senior Q42:
What does a layer SpatialDropout2D() do and why would you use it?
SpatialDropout2D() do and why would you use it? Senior Q43:
What's the difference between Model methods __call__() vs. predict()?
Model methods __call__() vs. predict()? Senior Q44:
How to change the metric used by the EarlyStopping callback in Keras?
EarlyStopping callback in Keras? Senior Q45:
How do you create a custom activation function in Keras?
Senior Q46:
What does it means stateful = False and stateful = True in a LSTM layer?
stateful = False and stateful = True in a LSTM layer? Senior Q47:
How can you use stateful RNNs in Keras?
Senior Q48:
What is the difference between kernel_regularizer, bias_regularizer and activity_regularizer, and when to use which?
kernel_regularizer, bias_regularizer and activity_regularizer, and when to use which? Senior Q49:
How to stack multiple LSTMs with Keras?
Expert Q50:
Related To: Python
How to train a network only on one output when there are multiple outputs in Keras?
Related To: Python Expert Q51:
How does Keras Embedding layer work?
Embedding layer work? Expert Q52:
What does from_logits=True do in SparseCategoricalcrossEntropy loss function?
from_logits=True do in SparseCategoricalcrossEntropy loss function? Expert Q53:
What's the difference between batch, timesteps, features in LSTM layer input?
LSTM layer input? Expert Keras Practical Challenges
Q1:
How would you freeze all the layers in the Keras model
Junior Q2:
Related To: Deep Learning, Neural Networks
Using Keras, construct a simple autoencoder architecture using Dense layers and a Sequential model for 784-dimensional data
Related To: Deep Learning, Neural Networks784-dimensional data Junior Q3:
Related To: Python
What does the Lambda layer do in Keras? What would be the output of this model?
Related To: Python Mid Q4:
How to get the neural network weights for every epoch using Keras callbacks?
Mid Q5:
Create code snippets that represent the different LSTM architectures using Keras
Mid Q6:
How would you merge two different models in Keras
Mid Q7:
Related To: Neural Networks
Using Keras, how can you visualize the filters of some layer of a CNN?
Related To: Neural Networks Mid Q8:
Construct a Model which takes two inputs and produces a single output
Model which takes two inputs and produces a single output Mid Q9:
How to concatenate two layers in Keras?
Senior 
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