The following tutorials are geared to help you get more out of the SignalPop AI Designer.
- Create and Train a Domain-Adversarial Neural Network
- Create and Train the ResNet-56 on Cifar-10
- Create and Train a Deep Convolution Auto-Encoder with Pooling on MNIST
- Create and Train a Sigmoid based Policy Gradient RL Model on Cart-Pole
- Create and Train a Softmax based Policy Gradient RL Model on Cart-Pole
- Create and Train a Sigmoid based Policy Gradient RL Model on ATARI Pong
- Create and Train a Noisy-Net based Deep Q-Learning RL Model on ATARI Breakout
- Create and Train an LSTM based Recurrent Model on Shakespeare
- Create and Train an LSTM_SIMPLE based Recurrent Model on Shakespeare
- Create a Neural Style Transfer