Header shows Deep Learning Tool Icon

Training

During training, a pretrained classifier is trained on the image dataset that has previously been labeled. With every iteration over the training dataset, the model tries to improve its predictions measured against the validation dataset. Based on its performance, the weights comprising the neural network are adjusted, improving the performance of the next iteration.

Training for Classification

Please note: Once you watch the video, data will be transmitted to Youtube/Google. For more information, see Google Privacy.

In the Deep Learning Tool, users can set all important parameters in the training page. After selecting a data split, the training can be started and the progress and performance are visualized.