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Making an apple recognizer using relu and other activations

Data is collected from https://github.com/Horea94/Fruit-Images-Dataset Our training data looks like

Similarly like training folder we have validation folder having 100 images of each category. now as said in project I first applied cnn model with relu activation and got a nice accuracy and then in other files I did same with smooth relu and relu +cos activation function and got best accuracy with relu +cos. After applying relu improving that accuracy more is kinda not possible but while taking new activation functions I took care that they are continuous and won't cause vanishing gradient problem.One problem with relu is that it breaks at 0 while smooth relu will not break at any point and relu+cosdivided data in better way than normal relu.

Relu+Cos

Smooth Relu

red apple

Green Apple

Banana