Failed to find data adapter that can handle input: <class 'numpy.ndarray'>, (<class 'list'> containing values of types {"<class 'int'>"})

Question

history = model.fit(X, y, batch_size=32, epochs=40, validation_split=0.1)

the line problem was this

Showing error:

ValueError: Failed to find data adapter that can handle input: <class 'numpy.ndarray'>, (<class 'list'> containing values of types {"<class 'int'>"})

Answer 1

I was facing the same issue. Turns out it was a in the form of a list. I had to convert the fields into a numpy array like:

training_padded = np.array(training_padded)
training_labels = np.array(training_labels)
testing_padded = np.array(testing_padded)
testing_labels = np.array(testing_labels)

thats it!

Answer 2

ValueError in TensorFlow

https://pythonprogramming.net/convolutional-neural-network-deep-learning-python-tensorflow-keras/

I tried following code and worked for me:

IMG_SIZE = 50

X = np.array(X).reshape(-1, IMG_SIZE, IMG_SIZE, 1)

y = np.array(y)

history = model.fit(X, y, batch_size=32, epochs=40, validation_split=0.1)

Answer 3

So this is happening the the newer version of tensorflow I'm not sure from where but I was on version 2.0.0 and this same thing happened

I'm assuming that you are only converting the X array into a numpy array But rather try converting 'X' as well as 'y' to numpy array using the dtype as np.uint8

That should resolve the problem