gistfile1.txt

embedding_size = 5

# creating book embedding path
book_input = Input(shape=[1], name="Book-Input")
book_embedding = Embedding(n_books2, embedding_size, name="Book-Embedding")(book_input)
# book_vec = Flatten(name="Flatten-Books")(book_embedding)
book_vec = Reshape([embedding_size])(book_embedding)


# creating user embedding path
user_input = Input(shape=[1], name="User-Input")
user_embedding = Embedding(n_users2, embedding_size, name="User-Embedding")(user_input)
# user_vec = Flatten(name="Flatten-Users")(user_embedding)
user_vec = Reshape([embedding_size])(user_embedding)


# concatenate features
conc = Concatenate()([book_vec, user_vec])

x = Dense(16, activation='relu')(conc)
x = Dense(8, activation='relu')(x)
# # x = Dropout(0.3)(x)
# x = Dense(128, activation='relu')(x)
# # x = Dropout(0.2)(x)
# # x = Dense(64, activation='relu')(x)
# x = Dropout(0.5)(x)
# x = Dense(16, activation='relu')(x)
x = Dense(4)(x)
y = Dense(1)(x)


model2 = Model(inputs=[user_input, book_input], outputs=y)
model2.compile(optimizer='adam', loss='mse')