Getting nan in my training model. I've provided the code. Kindly help me in correcting the code.

Question

i am getting nan in my model when performing the training of the model-
from sklearn.datasets import fetch_california_housing

from sklearn.model_selection import train_test_split

from sklearn.preprocessing import StandardScaler

housing = fetch_california_housing()

X_train_full, X_test, y_train_full, y_test = train_test_split(

housing.data, housing.target)

X_train, X_valid, y_train, y_valid = train_test_split(

X_train_full, y_train_full)

input_A = keras.layers.Input(shape=[5])

input_B = keras.layers.Input(shape=[6])

hidden1 = keras.layers.Dense(30, activation=“relu”)(input_B)

hidden2 = keras.layers.Dense(30, activation=“relu”)(hidden1)

concat = keras.layers.concatenate([input_A, hidden2])

output = keras.layers.Dense(1)(concat)

aux_output = keras.layers.Dense(1)(hidden2)

model = keras.models.Model(inputs=[input_A, input_B],

outputs=[output, aux_output])

model.compile(loss=[“mse”, “mse”], loss_weights=[0.9, 0.1], optimizer=“sgd”)

X_train_A, X_train_B = X_train[:, :5], X_train[:, 2:]

X_valid_A,

Answer 1

There is no keras import at the start and your code in the question is clipped at the end.

I would suggest creating a full code file of this question in your sololearn profile and link that code file in your question to let us better help you.