[HTML][HTML] A state-of-the-art survey on deep learning theory and architectures
In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …
domains. This new field of machine learning has been growing rapidly and has been …
The history began from alexnet: A comprehensive survey on deep learning approaches
Deep learning has demonstrated tremendous success in variety of application domains in
the past few years. This new field of machine learning has been growing rapidly and applied …
the past few years. This new field of machine learning has been growing rapidly and applied …
A comparative study of fine-tuning deep learning models for plant disease identification
Deep learning has recently attracted a lot of attention with the aim to develop a quick,
automatic and accurate system for image identification and classification. In this work, the …
automatic and accurate system for image identification and classification. In this work, the …
[PDF][PDF] Taking human out of learning applications: A survey on automated machine learning
Machine learning techniques have deeply rooted in our everyday life. However, since it is
knowledge-and labor-intensive to pursue good learning performance, humans are heavily …
knowledge-and labor-intensive to pursue good learning performance, humans are heavily …
Demystifying parallel and distributed deep learning: An in-depth concurrency analysis
Deep Neural Networks (DNNs) are becoming an important tool in modern computing
applications. Accelerating their training is a major challenge and techniques range from …
applications. Accelerating their training is a major challenge and techniques range from …