Pandas DataFrame and Keras

Question

I\'m trying to perform a sentiment analysis in Python using Keras. To do so, I need to do a word embedding of my texts. The problem appears when I try to fit the data to my

Answer 1

None is the number of expected rows that goes into training therefore you can't define it. Also Keras needs a numpy array as input and not a pandas dataframe. First convert the df to a numpy array with df.values and then do np.reshape((-1, 4834)). Note that you should use np.float32. This is important if you train it on GPU.