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WebFeb 17, 2024 · but if am correct mobile net input should have 3 dimension like (240, 240, 3) link. but the 1 data shape is (3998, 140, 1) then you should add batch dimension to it … WebDec 18, 2024 · I am using the keras API to load in the MNIST dataset. My problem is I need to use AlexNet as my algorithm. Understanding the AlexNet model, I require to start with 277x277 images but the MINST dataset has 28x28. How can I reshape the numpy array so that each image is 227x277 to then use the full AlexNet model? huda beauty bullet swatch
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WebThen you need not reshape . It will be of shape (237,1) 2) use X = data['Head Size(cm^3)'].values . This will convert X into numpy array and then you can use reshape i.e. X = X.reshape(237,1). Please let me know if you have any doubts in above . reply Reply. Nasim. Topic Author. Posted 3 years ago. arrow_drop_up 1. more_vert. format_quote. WebLearn how our community solves real, everyday machine learning problems with PyTorch. Developer Resources. Find resources and get questions answered. Events. Find events, webinars, and podcasts. Forums. A place to discuss PyTorch code, issues, install, research. Models (Beta) Discover, publish, and reuse pre-trained models WebOct 20, 2024 · Syntax: numpy.reshape (a, newshape, order=’C’) Purpose: Gives a new shape to the array without changing the data. Parameters: a: _array like Array to be reshaped. … hoke carlton golf