Transformers, Deep Learning, Voice Ai, Neural Networks, Artificial Intelligence.
demand forecasting. # Import necessary libraries import numpy as np import tensorflow as tf from tensorflow.keras.layers import LSTM, Dense # Create an LSTM model for time series forecasting model = tf.keras.Sequential([ LSTM(units=64, input_shape=(None, 1)), Dense(units=1) ]) # Training loop for