lstm

Tensorflow – ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float)

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TL;DR Several possible errors, most fixed with x = np.asarray(x).astype(‘float32′). Others may be faulty data preprocessing; ensure everything is properly formatted (categoricals, nans, strings, etc). Below shows what the model expects: [print(i.shape, i.dtype) for i in model.inputs] [print(o.shape, o.dtype) for o in model.outputs] [print(l.name, l.input_shape, l.dtype) for l in model.layers] The problem’s rooted in using … Read more

Understanding Keras LSTMs

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As a complement to the accepted answer, this answer shows keras behaviors and how to achieve each picture. General Keras behavior The standard keras internal processing is always a many to many as in the following picture (where I used features=2, pressure and temperature, just as an example): In this image, I increased the number … Read more

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