Transfer Learning: Image classification with MobileNet-V2. 100% Accuracy achieved.

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The transfer learning has been applied to build a model from already trained Mobilenet-v2 with 2.5 million trained parameters. The model was added with a dense layer for 6 class categories. new parameters of the model was trained and 100% accuracy on training, validation and testing data was achieved.

  1. WallEve
  2. 100% accuracy
  3. Classification
  4. Computer vision
  5. Deep Learning
  6. Machine Learning
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Комментарии
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Thanks a lot for this video. This code helped me a lot. I would suggest making a video on Mobile-ViT as well.

owjbmzk
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Plz tell me, in place of training and validation data set i just have to upload the link from my system of the data sets i have already processed and augmented right?

arinjain
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Bro i am doing project on medicinal plant recognition using mobilenetv2, can i use this method to get high accuracy?

vijhey
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Please share the link of above code, beautiful presention

manaskumarroy