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

📺 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

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

[sherifbadawy]

Man your courses taught me to lose my ego, and to live out for the people. Thank you so much for this. This has to be a blessed deed that you did this.

[GautamKumarBEE]

A very humble request, please add atleast 5-6 more videos in this series.

[AlonAvramson]

Your way of explaining complex issues in such an easy and simple way is truly amazing. Thank you!

[sandiproy]

With a clear example you explained transfer learning so beautifully. LOved to see your tutorial. Thank you so much sir.

[zaidalmahmoud]

Wow! What a simple and clear illustration of Transfer Learning. Thank you!

[bhaskargg]

no words to praise, the session is superb, thanks a lot for sharing your knowledge

[mhdkfl]

By watching your deep learning whole series i have cleared my bunch of doubts .
Your way of putting any topic so simple is really amazing.
Hatts off to your teaching methodology.
A heartiest request to you to
Please upload NLP series (including LSTM and Encoders/Decoders) with a good project.
I am eagrely waiting.

[mums]

Even though this of two years old it is still very well taught. Thank you!

[anoshpa-]

I don`t have words to thank you for this deep learning series, you have explained every single topic in simple language.
Thanks a ton :) :) Keep Uploading such series :)

[homeOfTrivia]

Excellent course. This is my "Go To" resource for Machine Learning and Deep Learning.
Please think of creating a series of projects that can make one grow their skills. Keep the price affordable.

[izharkhankhattak]

Really great lecture. Keep helping the people like that. Thank you so much.

[shreyasb.s]

Omg..u have cleared my lot of doubts here...superbbb explained...thank you much sir. Please contribute more towards RNN also like this.

[pratyushsinha]

Thank you so much sir. This was extremely helpful!

[sumit]

really helpful....you are the best teacher for deep learning....also for machine so i m a big fan of

[sagarmahobia]

Wouldn't it affect the ability to recognize images other than these flowers because now the last layer has been trained with a smaller dataset? Like recognizing a chair or. bike

[nineteen]

Thanks mate... it helped.. Love from London..

[inhibited]

That example with the flower identified as an umbrella got me thinking. I applied your model to my data. I have pictures of an object with rust and blemishes on them. The model identified a few pictures as a snake of some sort or a hyena. If I do a case study of a bunch of pictures in my data and feed them to the model, I should be able to program into it the actual appropriate identity once the model has ascertained it's a snake, hyena or whatever.

[ucm]

In the last layer of the trained model, though softmax layer is being used, how we are getting some of our prediction values to be greater than 1??

[HotshotArafath]

Sir can we use this method for the leaf disease project also as a extension?

[dileeppanigrahi]

Hi sir, How can i remove the last layer, without using feature_vector model. what i mean is how to remove the last layer from the classification model(mobilenet_v2) and freeze the trained layers .