I am getting the same problem. Have you got any solution yet?

HI, can I have you mail? I need your help.

Sorry, I am a newbie and would like to ask you why this code in：

features = len(X[0])
samples = X.shape[0]
train_len = 25
input_len = samples - train_len
I = np.zeros((samples - train_len, train_len, features))

for i in range(input_len):
temp = np.zeros((train_len, features))
for j in range(i, i + train_len - 1):
temp[j-i] = X[j]
I[i] = temp

Is there any basis for doing this, but if I use X_train = np.reshape(X, (X.shape[0],X.shape[1],1)) is this okay, but if I do this, the result is not very good.

while running line number 65

history = model.fit(X_train, Y_train, epochs = 40,validation_split=0.2, verbose = 1)

it showing the following error : -

ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int).

Please help !