Results without multiplication line of custom loss

Binary Crossentropy:
225/225 - 25s - loss: 0.2554 - accuracy: 0.0013 - val_loss: 0.0111 - val_accuracy: 0.0067
222/222 - 24s - loss: 0.0064 - accuracy: 0.0155 - val_loss: 0.0040 - val_accuracy: 0.0189
201/201 - 25s - loss: 0.0033 - accuracy: 0.0192 - val_loss: 0.0029 - val_accuracy: 0.0209
221/221 - 27s - loss: 0.0026 - accuracy: 0.0215 - val_loss: 0.0024 - val_accuracy: 0.0215
222/222 - 32s - loss: 0.0023 - accuracy: 0.0239 - val_loss: 0.0022 - val_accuracy: 0.0252
221/221 - 37s - loss: 0.0021 - accuracy: 0.0251 - val_loss: 0.0021 - val_accuracy: 0.0281
214/214 - 42s - loss: 0.0021 - accuracy: 0.0244 - val_loss: 0.0020 - val_accuracy: 0.0246
193/193 - 43s - loss: 0.0020 - accuracy: 0.0275 - val_loss: 0.0020 - val_accuracy: 0.0320
217/217 - 39s - loss: 0.0020 - accuracy: 0.0278 - val_loss: 0.0019 - val_accuracy: 0.0336
227/227 - 35s - loss: 0.0019 - accuracy: 0.0296 - val_loss: 0.0019 - val_accuracy: 0.0388
202/202 - 36s - loss: 0.0019 - accuracy: 0.0333 - val_loss: 0.0019 - val_accuracy: 0.0394
217/217 - 44s - loss: 0.0019 - accuracy: 0.0377 - val_loss: 0.0019 - val_accuracy: 0.0388
224/224 - 47s - loss: 0.0019 - accuracy: 0.0362 - val_loss: 0.0018 - val_accuracy: 0.0428
221/221 - 31s - loss: 0.0018 - accuracy: 0.0377 - val_loss: 0.0018 - val_accuracy: 0.0425
211/211 - 28s - loss: 0.0018 - accuracy: 0.0429 - val_loss: 0.0018 - val_accuracy: 0.0481

Categorical Crossentropy:
225/225 - 39s - loss: 6.9687 - accuracy: 0.0419 - val_loss: 6.1225 - val_accuracy: 0.0478
222/222 - 33s - loss: 5.7300 - accuracy: 0.0736 - val_loss: 5.4507 - val_accuracy: 0.0808
201/201 - 36s - loss: 5.2493 - accuracy: 0.0904 - val_loss: 5.1115 - val_accuracy: 0.0952
221/221 - 42s - loss: 4.9534 - accuracy: 0.0994 - val_loss: 4.8563 - val_accuracy: 0.1027
222/222 - 37s - loss: 4.6996 - accuracy: 0.1135 - val_loss: 4.6675 - val_accuracy: 0.1106
221/221 - 31s - loss: 4.5346 - accuracy: 0.1202 - val_loss: 4.5253 - val_accuracy: 0.1211
214/214 - 34s - loss: 4.4831 - accuracy: 0.1181 - val_loss: 4.4435 - val_accuracy: 0.1166
193/193 - 36s - loss: 4.3901 - accuracy: 0.1235 - val_loss: 4.3899 - val_accuracy: 0.1250
217/217 - 21s - loss: 4.2847 - accuracy: 0.1333 - val_loss: 4.3203 - val_accuracy: 0.1285
227/227 - 34s - loss: 4.2678 - accuracy: 0.1329 - val_loss: 4.2687 - val_accuracy: 0.1347
202/202 - 22s - loss: 4.2075 - accuracy: 0.1332 - val_loss: 4.2444 - val_accuracy: 0.1297
217/217 - 20s - loss: 4.1314 - accuracy: 0.1451 - val_loss: 4.2059 - val_accuracy: 0.1340