Topic 1 Question 100
You are an ML engineer at a manufacturing company. You need to build a model that identifies defects in products based on images of the product taken at the end of the assembly line. You want your model to preprocess the images with lower computation to quickly extract features of defects in products. Which approach should you use to build the model?
Reinforcement learning
Recommender system
Recurrent Neural Networks (RNN)
Convolutional Neural Networks (CNN)
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コメント(8)
- 正解だと思う選択肢: D
Obviously D.
👍 2ares812022/12/15 - 正解だと思う選択肢: D
D CNN is good for images processing
👍 1hiromi2022/12/19 - 正解だと思う選択肢: D
best way
👍 1enghabeth2023/02/08
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