redaelhail

// D: number of Doppler bins, 100 in our case
// R: number of Range bins, 128 in our case
// Det\matrix is the range doppler map
// Doppler is the 1D doppler vector

int D=100, R=128;
float Doppler [D];

// iterate over the doppler bins, and then over the range bins
for (int i=0; i < D; i++){

redaelhail

#Handwritten numbers classification
import tensorflow as tf
from tensorflow import keras
from keras.callbacks import EarlyStopping
import numpy as np
import matplotlib.pyplot as plt

tf.executing_eagerly()
(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()

redaelhail

#Handwritten numbers classification
import tensorflow as tf
from tensorflow import keras
from keras.callbacks import EarlyStopping
import numpy as np
import matplotlib.pyplot as plt

tf.executing_eagerly()
(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()