nb.py 454 B

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  1. #%%
  2. import tensorflow as tf
  3. from tensorflow import keras
  4. from tensorflow.keras import datasets
  5. import os
  6. #%%
  7. a = tf.random.normal([4,35,8]) # 模拟成绩册A
  8. b = tf.random.normal([6,35,8]) # 模拟成绩册B
  9. tf.concat([a,b],axis=0) # 合并成绩册
  10. #%%
  11. x = tf.random.normal([2,784])
  12. w1 = tf.Variable(tf.random.truncated_normal([784, 256], stddev=0.1))
  13. b1 = tf.Variable(tf.zeros([256]))
  14. o1 = tf.matmul(x,w1) + b1 #
  15. o1 = tf.nn.relu(o1)
  16. #%%