Thanks Phil, It worked.
glad it work
I get length mismatch error while downloading the predicted values. Anyone help to rid the error
Please share the screen shot.
I am getting this error while saving the prediction file
ValueError: Length mismatch: Expected axis has 10 elements, new values have 1 elements
Any pointers appreciated
I am also getting the same error. Please help.
I am able to generate the csv file with index, how to post the predictions with commas in the submit file automatically?
When I submit using my predictions, I see my submissions on the problem page, but we also have the submission box on the main platform, right? Do we need to submit anything there too, or not?
Please go through how to submit section of the problem page.
Yes, your solution notebook.
According to this error, you are assigning only 1 element to an object that is expecting 10 elements. Can you share a screenshot of what you’re doing that results in this error?
I cannot get more than 60 % percent accuracy in the training dataset ,can anyone suggest some tips to get higher accuracy.
i am using this architecture.
model = Sequential()
model.add(Dense(256, activation=‘relu’, input_shape= (3072,) ))
model.add(Dense(512,input_shape=(512,),activation=‘relu’)) ###using regularizer
model.compile(loss=‘categorical_crossentropy’, optimizer=‘adam’, metrics=[‘accuracy’])
thanks in advance.
I increased the number of epochs and I am able to get upto 80% accuracy
test_data = pd.read_csv("https://raw.githubusercontent.com/dphi-official/Datasets/master/cifar_image_flattened_pixels.csv") not able to come up with the method to bring predictor variable. can someone help?
For this test_data you have to predict the predictor variable using the model you have built.
if someone missed the assignment 1 deadline,is he still eligible for the bootcamp Certificate ?
@manish_kc_06 can we still submit the predictions for this problem ??
Sorry for the delay in the submission closure. You cannot make submissions now.
am i still eligible for completion of camp ?
you can check here if you are eligible or not
Now you cannot submit assignment 1.
thanks for the reply !
looks like i missed my chance .
Anyway will still complete the course.