回答編集履歴
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コード追記
test
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@@ -1,3 +1,75 @@
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[追記]
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質問文より抜粋
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```python
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# with以下
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with tf.Session() as sess:
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sess.run(init)
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for i in range(2000):
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batch = mnist.train.next_batch(2)
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feed_dict = {x:batch[0] , y:batch[1] , keep_drop:0.5}
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sess.run(train,feed_dict = feed_dict)
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if i % 10 == 0:
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train_accu = sess.run(accu , feed_dict = {x:batch[0] , y:batch[1] , keep_drop:1.0})
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train_loss = sess.run(loss , feed_dict = {x:mnist.test.images , y:mnist.test.labels , keep_drop:1.0})
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print("step:{} accuracy:{} loss:{}".format(i+1 , train_accu , train_loss))
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final_accu = sess.run(accu , feed_dict = {x:mnist.test.images , y:mnist.test.labels , keep_drop:1.0})
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print("Optimization DONE!")
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print("Final Accuracy:{}".format(final_accu))
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```
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上記を下記のように修正して実行するとどうなりますか。
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```python
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with tf.Session() as sess:
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sess.run(init)
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for i in range(2000):
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batch = mnist.train.next_batch(2)
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feed_dict = {x:batch[0] , y:batch[1] , keep_drop:0.5}
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sess.run(train,feed_dict = feed_dict)
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if i % 10 == 0:
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train_accu = sess.run(accu , feed_dict = {x:batch[0] , y:batch[1] , keep_drop:1.0})
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# train_loss = sess.run(loss , feed_dict = {x:mnist.test.images , y:mnist.test.labels , keep_drop:1.0})
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print("step:{} accuracy:{}".format(i+1 , train_accu))
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# final_accu = sess.run(accu , feed_dict = {x:mnist.test.images , y:mnist.test.labels , keep_drop:1.0})
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print("Optimization DONE!")
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# print("Final Accuracy:{}".format(final_accu))
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```
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---
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下記コードはTensorflow側で必要な分GPUのメモリを確保するコードですがこれをソースコードに組み込むとどうなりますか。
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```python
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