ireneweng

import matplotlib.pyplot as plt
import tensorflow.keras as keras
from tensorflow.keras.datasets import mnist
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential

def renderImage(x_train, y_train, num):
    image = x_train[num]
    plt.imshow(image, cmap='gray')
    print(f'This is a {y_train[num]}')

ireneweng

// Author: Irene
// Title: Sandbox

#ifdef GL_ES
precision mediump float;
#endif

#define PI 3.14159265359

uniform vec2 u_resolution;