I don't understand how the code shown here changes the probs array of [300x3] to a 1 D array correct-logprobs, any explanation will be great

Question

num_examples = X.shape[0]  #num_examples=300

exp_scores = np.exp(scores) #scores = np.dot(X, W) + b

probs = exp_scores / np.sum(exp_scores, axis=1, keepdims=True)