Current Volume 8
Abstract
Deep neural networks have potentially demonstrated dominant success in the field of image recognition and relevant tasks. However, with the significant increase of the network depth mostly leads to a specific set of optimization-based challenges, specifically in terms of vanishing as well as exploding the gradients.
Citations
IRE Journals:
Sai Dhiresh Kilari , Dr. Peter Wu
"Deep Residual Learning for Image Recognition" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 780-783
IEEE:
Sai Dhiresh Kilari , Dr. Peter Wu
"Deep Residual Learning for Image Recognition" Iconic Research And Engineering Journals, 6(1)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12