Deep Learning Questions and Answers

Deep Learning Questions and Answers

Deep Learning (DL) is a subset of Machine Learning (ML) in Artificial Intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep learning other names are Deep Neural Learning or Deep Neural Network.

What is Deep Learning?

What is Machine Learning?

What is Artificial Intelligence?

What is Neural Network?

What are the differences between Machine learning and Artificial Intelligence?

What is the difference between Deep Learning and Machine Learning?

What is the difference between Deep Learning and Neural Network?

What are the dissimilarities between Machine Learning and deep Learning?

How is Deep Learning being used?

What are cons or drawbacks of Deep Learning?

What is CNN?

 

Read : What is Machine Learning and History of ML?

 

What is RNN?

What is an Auto-encoder?

What is Gradient Descent: Batch, Stochastic And Mini-batch?

What is a Backpropagation?

What is pooling layer in Deep learning?

What is Max Pooling?

What is Dropout in Deep Learning?

What is Weight Initialization in Neural Networks?

What is ‘overfitting’ in the specific field?

What is Transfer Learning?

What is Data Augmentation?

What is the use of Fourier Transform in Deep Learning?

What is Skip-gram?

How When (and where) to apply Neural Networks?

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