Hi ,
this one is not a specialized under the sequence models topic but I cant found page for this course that provide in the coursera. This course covers intro CNN, CNN,NLP and sequence models.
THis assignment is combination of CNN_DNN_LSTM using Daily Minimum Temperatures in Melbourne.
SPLIT_TIME = 2500
WINDOW_SIZE = 64
BATCH_SIZE = 32
SHUFFLE_BUFFER_SIZE = 1000
I don’t understand how to define this variables in the window dataset function. For instance, which variables that I should change to forecast the temperature for the next 1 month, 1 week?
Please guide 
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Dear @fatihah,
I am sorry, but I didn’t understand your question. Please elaborate your problem in detail. or send me your notebook through a personal message.
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I think you filed this under the wrong category. I’m very familiar with DLS Course 4 (ConvNets) and DLS Course 5 (Sequence Models) and there aren’t any assignments in DLS that deal with temperatures in Melbourne. I have not taken any of the advanced TensorFlow Specializations here, though. Is this from Course 4 of one of the TF specializations? There should be forum categories for those. You’ll have a better chance of getting help if you put it in the correct category so that the mentors who know those courses will notice. You can use the little “edit pencil” on the title to change the category. Or if you can reply with the name of the specialization and course, I can move it for you.
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Please check this TensorFlow guide dealing with the same data.
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alright thank you so much i am actually not sure which course I just refer to coursera arrangement the C1: Intro to tensorflow,C2:CNN in Tensorflow C3: NLP In Tensorflow and C4 : Sequences and time series prediction thanks for the help
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Ok, I just moved the thread to that category.
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