What is the difference between Keras and TensorFlow?
Ans: TensorFlow is an open source platform for machine learning. It’s a comprehensive and flexible environment of tools, libraries and other resources
What do you mean by Transfer Learning? How do you apply in Neural Network?
Ans: Transfer learning is a machine learning method where a model developed for a task is reused as the starting
What are popular Deep Learning Libraries in the world?
Now a days Deep learning is evolving rapidly. The most popular Deep learning Libraries according to 2019 areTensorFlow PyTorch
How to perform Hyperparameter tuning in Autoencoders?
Ans: While training an Autoencoder, we will do hyperparameter tuning in order to obtain required output.Code size: It represents the number
What is Restricted Boltzmann Machine?
A Restricted Boltzmann machine is an algorithm useful for dimensionality reduction, classification, regression, collaborative filtering, feature learning and topic modeling. RBMs
Explain the terms Latent space representation?
Ans: Latent Space Representation is the compressed representation of an Image. In Auto Encoders, the Image is compressed and represented in
Explain about Deep autoencoders?
Ans: Deep Autoencoders consist of two identical deep belief networks. One network for encoding and another for decoding. Typically, deep autoencoders
Explain about the Contractive autoencoders?
Ans: A contractive autoencoder is an unsupervised deep learning technique that helps a neural network encode unlabeled training data. Contractive autoencoder (CAE) objective is to have
Explain about Convolutional autoencoder?
Ans: Convolutional Autoencoders use the convolution operator to exploit this observation. Rather than manually engineer convolutional filters we let the model learn
Explain about Denoising Autoencoder?
Ans: Generally, Autoencoders are used for Feature Selection and Feature Extraction. When the number of Hidden Layers is more than