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 | 21.0分钟 | 100% | 154 CPM | 65 次 | 0 | 及格，继续努力！ |
|
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: 强烈的希望，比任何一种已实现的快乐，对人生具有更大的激奋作用。 ——尼采 | |||||||
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