can someone please tell me how to convert this keras model to pytorch ? I am bit confused
shape = (64, 64, 3)
classifier = Sequential()
classifier.add(Conv2D(32, (3, 3), activation=‘relu’,input_shape=shape))
classifier.add(Conv2D(32, (3, 3), activation=‘relu’))
classifier.add(MaxPool2D(pool_size = (2, 2)))
classifier.add(Dropout(0.05))
classifier.add(Conv2D(64, (3, 3), activation=‘relu’))
classifier.add(Conv2D(64, (3, 3), activation=‘relu’))
classifier.add(MaxPool2D(pool_size=(2, 2)))
classifier.add(Dropout(0.10))
classifier.add(Flatten())
classifier.add(Dense(128, activation=‘relu’))
classifier.add(Dropout(0.15))
classifier.add(Dense(64, activation=‘relu’))
classifier.add(Dense(32, activation=‘relu’))
classifier.add(Dropout(0.20))
classifier.add(Dense(7, activation=‘softmax’))
classifier.summary()