C3W4 Assignment Saliency Maps

[boyWithCode]

Help me sir, can’t pass accuracy, stuck, help me if I forget something, please

screenshot removed as it included grade cell codes and posting codes is against community guidelines

[Deepti_Prasad]

avoid posting any screenshot which shows grade cells codes. it is against community guidelines.

You haven’t mentioned anything about why you are unable to pass the grader.

Rather than posting codes, you could have posted screenshot of your failed grader with show grader output which provides information on why you failed assignment on grading.

[boyWithCode]

ok sir, sorry. I’m working on advanced computer vision saliency maps assignment, I’m using loss sparse categorical crossentropy, I believe it’s all correct, but the accuracy is not sufficient, what am I missing?

[Deepti_Prasad]

@boyWithCode

kindly go through below post comment

Advanced computer vision saliency maps week 4 assignment ssim score

is this the way you recalled the labels or included label with 2? Please give detail about which activation you have used for the last dense layer in your model? The most common mistake by learners in this assignment was related def do salience grader cell where the learner missed converting the image from BGR to RGB, check if you have done this. The next usual mistake one can do in the below statement of def do salience grader cell Define the expected output array by one-hot encodi…

let me know if you are still not able to get the accuracy

[boyWithCode]

in my code there is already: the last layer model.add(Dense(2,activation=‘softmax’)), then there is also for image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB), and in compile, I also have model.compile(loss=‘sparse_categorical_crossentropy’,metrics=[‘accuracy’],optimizer=tf.keras.optimizers.RMSprop(lr=0.001))

but still error sir

[Deepti_Prasad]

can you just post the screenshot of the error. please don’t post any codes