Machine Learning, Classification, Keras, Deep Learning, Computer Vision.
probability scores for each class. This custom CNN architecture consists of five Conv2D layers and MaxPool Layers for the same. This architecture has dropout layers as well to ensure no overfitting of the data occurs. Step 5: Training: Now that we have built the model, we are ready to train it. We