MLP ODE Timeseries

MLP_ODE_Feedforward.py

def calc_z_j(x_train, w_train, b_j_train):
    for j in range(m):
        z_pred[:,j] = np.dot(x_train,w_train[j,:]) + b_j_train[j]
    
    return z_pred
    
def calc_y_k(z_train, v_train, b_k_train):
    for k in range(M):
        y_pred[:,k] = np.dot(z_train, v_train[k,:]) + b_k_train[k]
    
    return y_pred