Transfer Learning | Deep Learning Tutorial 27 (Tensorflow, Keras & Python)




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📺 Transfer learning is a very important concept in the field of computer vision and natural language processing. Using transfer learning you can use pre trained model and customize it for your needs. This saves computation time and money. It has been a revolutionary break through in the field of deep learning and nowadays you see it being used widely in the industry. In this video we will go over some theory behind transfer learning and then use google’s mobile net v2 pre trained model to train our flowers dataset

Code: https://github.com/codebasics/py/blob/master/DeepLearningML/18_transfer_learning/cnn_transfer_learning.ipynb

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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers’.

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Comment List

  • codebasics
    November 23, 2020

    Thanks a lot sir

  • codebasics
    November 23, 2020

    Can we run this code in cpu system

  • codebasics
    November 23, 2020

    Sir… Can you please show CNN in UCIHAR dataset… Will be really helpful

  • codebasics
    November 23, 2020

    What are the methods available to improve the accuracy of custom models??except trial and error.

  • codebasics
    November 23, 2020

    why yolo algorithm takes hours to train to perform object detection using transfer learning

  • codebasics
    November 23, 2020

    Thank you, can transfer learning be done for time series data?.

  • codebasics
    November 23, 2020

    Thank you sir

  • codebasics
    November 23, 2020

    sir is the python project of Grocery Application Completed ?

  • codebasics
    November 23, 2020

    v advance

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