Un-Answered Questions { AI Deep Learning }
Why is TensorFlow the most preferred library in Deep Learning?
What is Gradient Descent?
What is encoder in deep learning?
What is an auto-encoder?
What will happen if the learning rate is set too low or too high?
How does Deep Learning differ from Machine Learning?
What is Overfitting and Underfitting and how to combat them?
What is the Boltzmann Machine?
What is the difference between Batch Gradient Descent and Stochastic Gradient Descent?
What are Hyperparameters?
What is overfitting and underfitting?
why do we need data normalization?
What is data normalization?
Differentiate supervised and unsupervised deep learning procedures.
What do you understand by perceptron? Also, explain its type.
