CNN_models: jupyter notebooks with examples of CNN model design and training procedures -HighRes - 4 convolutional steps with batch norm and second convolutional layer at each step (commented out) ...

Although two-stage object detectors have continuously advanced the state-of-the-art performance in recent years, the training process itself is far from crystal. In this work, we first point out the ...

The outputs of this CNN are the learning rate and the number of iterations required for the two GAN networks. The training procedure is implemented using Python, where the dataset is randomly split ...

Research has demonstrated that computerized approaches can aid in the detection procedure and offer benefits beyond accustomed ... utilizes the multi-head attention mechanism combined with CNN layers ...