Chapter 4 is devoted to deep autoencoders as a prominent example of the unsupervised deep learning techniques. Chapter 5 gives a major example in the hybrid deep network category, which is the ...

Deep Autoencoders model for Anomaly Detection "Objective: This project focuses on the application of Autoencoders in Deep Learning, particularly for learning compressed representations of data.

The past few years researchers are rising dominance of deep learning and artificial intelligence in huge range of various applications like image and video compression. The paper provides a deep ...

With the continuous advancement of artificial intelligence (AI) and deep learning technologies, virtual image generation exhibits significant potential for application in photographic art creation.

Deep learning opens a new level of capabilities within the artificial intelligence realm, but its use has been limited to data scientists. Nowadays, finally, it may be ripe for "democratization ...

Repository for the book Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python. Deep learning is not just the talk of the town among tech folks.

Because her team is so advanced, particularly in the practical application of deep learning, I couldn’t resist asking her what she thought about widely publicized warnings from Stephen Hawking ...