Next Wave of Deep Learning Models & Applications (RNN, CNN, and GaN)

Next Wave of Deep Learning Models & Applications (RNN, CNN, and GaN)

  • August 2021 •
  • 55 pages •
  • Report ID: 6149536 •
  • Format: PDF
As digitization progresses across industries, AI is gaining a ubiquitous adoption as more and more business processes are being automated. With this, the expectations from AI in terms of what applications can be realized using AI is also expanding, and thus a more complex set of neural networks have been introduced which are expected to leverage advancements in computing power to empower the next generation of applications where AI will have a higher decision making power and autonomy over decision making.An impressive collaboration between academia and industry has accelerated the commercialization of novel research projects surrounding AI and ML. Companies such as Google and Nvidia have also taken a lead in applied research around AI which has translated into development of algorithms which now form the base of autonomous cars , simulation software and other intelligent applications.In brief, this research study highlights the following points:Scope of AI, Deep Learning and Neural NetworkConvolutional Neural Networks (CNN)Recurrent Neural Networks (RNN)Generative Adversarial Networks (GAN)