Most significantly, we assure that our technical team provides the complete research support for the scholars. As well, this entire article will guide you people to know about the deep learning simulator. Let’s start this article with the short note about simulators.
Deep Learning Simulator
At this time, we have highlighted some of the supportive deep learning simulators along with its specifications.
- Matlab
- The pertrained deep neural network models are deployed to apply the deep learning process along with some model in Matlab such as
- VGG-19
- VGG-16
- AlexNet
- Python
- Tensor Flow is deployed directly in python and the trained and untrained neural network is capable to be created
- Ns-3
- It is integrated with OpenAI Gym to perform the reinforcement learning (RL) and deep learning based research simulators
Deep Learning Simulation Algorithms
In addition, our resource people have highlighted the most significant deep learning algorithms.
- Deep convolutional neural network (D-CNN)
- Variational autoencoder GAN (VAEGAN)
- Generative adversarial network (GAN)
- Recurrent neural network (RNN)
- Long short term memory (LSTM)
- Google net (GNet)
- Convolutional neural network (CNN)
- Residual network (ResNet)
We hope that we have provided the enough notes about the deep learning simulator. So, reach us for all your research needs.
