for epoch in range(epoch):
for step,(x_train,y_train) in enumerate(train_db):
with tf.GradientTape() as tape:
y = tf.matmul(x_train,w1) + b1
y = tf.nn.softmax(y)...
English Article | Word Count | Duration | Accuracy | Speed | Backspace | Error | Slogan |
---|---|---|---|---|---|---|---|
《tf2》 | 1061字 | 22.0分钟 | 100% | 83 CPM | 75 次 | 0 | 不及格,加强练习! |
Suggestion:
可能对按键不够熟悉,或者对输入法不够熟练所导致,不要急慢慢来,先打对把准确率提高,然后逐渐的加快速度,最后才能打准打快。
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Inspirational quotes: 盛满易为灾,谦冲恒受福。 ——张廷玉 | |||||||
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