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Recent questions in Deep Learning
0
votes
1
answer
Differentiate between bias and variance in the context of deep learning models. How can you achieve balance between the two?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-leanring
0
votes
1
answer
According to you, which one is more powerful - a two layer neural network without any activation function or a two layer decision tree?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
1
answer
Can a deep learning model be solely built on linear regression?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
1
answer
While building a neural network architecture, how will you decide how many neurons and the hidden layers should the neural network have?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
neural-network
0
votes
1
answer
What do you mean by an epochs in the context of deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
epochs
deep-learning
0
votes
1
answer
What is an activation function? What is the use of an activation function?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
activation-function
0
votes
1
answer
Which deep learning algorithm is the best for face detection?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
1
answer
Explain Stochastic Gradient Descent. How is it different from Batch Gradient Descent?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
stochastic-gradient-descent
0
votes
1
answer
Explain Batch Gradient Descent.
asked
Dec 12, 2022
in
Deep Learning
by
Robin
batch-gradient-descent
0
votes
1
answer
In a Convolutional Neural Network (CNN), how can you fix the constant validation accuracy?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
convolutional-neural-network
0
votes
1
answer
Explain the difference between a shallow network and a deep network.
asked
Dec 12, 2022
in
Deep Learning
by
Robin
shallow-network
deep-network
0
votes
1
answer
What is a tensor in deep learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
tensor
deep-learning
0
votes
1
answer
Is it possible to train a neural network model by setting all biases to 0? Also, is it possible to train a neural network model by setting all of the weights to 0?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
deep-learning
0
votes
1
answer
What are the advantages of transfer learning?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
transfer-learning
0
votes
1
answer
Explain Data Normalisation. What is the need for it?
asked
Dec 12, 2022
in
Deep Learning
by
Robin
data-normalisation
0
votes
1
answer
What is transfer learning in the context of deep learning.
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
transfer-learning
0
votes
1
answer
What are the Difference between multi-class and multi-label classification problems.
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
deep-learning
0
votes
1
answer
What do you mean by hyperparameters in the context of deep learning?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
hyperparameters
deep-learning
0
votes
1
answer
What are the different techniques to achieve data normalization?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
normalization-techniques
0
votes
1
answer
What is Data Normalisation. What is the need for it?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
data-normalisation
deep-learning
0
votes
1
answer
What is forward and Back Propagation in the context of deep learning.
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
back-propagation
forward-propagation
0
votes
1
answer
What do you understand about gradient clipping in the context of deep learning?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
gradient-clipping
deep-learning
0
votes
1
answer
What do you mean by end-to-end learning?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
end-to-end-learning
deep-learning
0
votes
1
answer
What are the different types of deep neural networks?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
deep-neural-networks
0
votes
1
answer
what a deep neural network is
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
deep-neural
0
votes
1
answer
What are the disadvantages of neural networks?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
neural-networks
0
votes
1
answer
What are the advantages of neural networks?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
deep-learning
neural-networks
0
votes
1
answer
What is learning rate in the context of neural network models. What happens if the learning rate is too high or too low?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
learning-rate
deep-learning
0
votes
1
answer
What do you understand about Neural Networks in the context of Deep Learning?
asked
Dec 11, 2022
in
Deep Learning
by
john ganales
deep-leaning
0
votes
1
answer
Convolutional neural network is mainly used for image recognition.
asked
Oct 13, 2022
in
Deep Learning
by
AdilsonLima
deep-learning
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Recent questions in Deep Learning
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