Deep Learning - Image Classification Tutorial step by step (for Beginners) (python / TensorFlow)
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- čas přidán 20. 09. 2020
- This video contains a basic level tutorial for implementing image classification using deep learning library such as Tensorflow.
1. Overview of concepts (Brainstorming) Image Classification
2. Image loading (four different methods)
(i) Python Imaging Library
(ii) Open CV
(iii) IPython.display
(iv) Tensorflow.Keras API - Preprocessing
3. Deep learning architectures
(i) Model Loading (MobileNet etc)
(ii) Predictions
4. Decoding the predictions into labels
Haven't found a simpler explanation than this of Deep Learning for Image Recognition anywhere else. Thanks..!!
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Best tutorial that I've come across thus far. Thank you so much!🙂
I am From Ethiopia! I was studding an AI courser for free! Your lecture is so good !!
Thank you for the video. It's easy to understand about how I can use it.
WOW ....... !! Best Tutorial, Please make more videos on this topic.
Thank you. i can now start relating for. I was initially confused.
Well done Shan
Sir , yours videos are easy to understand and Thanks You so Much sir 😊
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Amazing... Finally, someone teaching very good
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Awesome video very clear
Thanks. Love from Bangladesh
Thank you for this!!! 🙏
This is so helpful! Thank You!!!!
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Thank you very much sir, very helpful video to understand many concepts on deeplearning
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Thanks it was great. I need to learn how train unseen images then classify 5 types
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Thanks, that’s really helpful
Interesting one
good job.
Hello Sir. Thank you for this amazing video tutorial. May i ask if you could share your script and slides? Thanks
Thank you for this amazing video, sir! I'm now more understand about the Tensorflow and image classification. May I know, can I use Microsoft Visual Studio instead of Anaconda? Are they have the same function? And lastly, I want to know, this method can be use in Raspberry Pi for image processing sir with camera implement with it? Thank you 😄
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Hallo there. I would like to colorize my Corona image from 1968 into RGB, so that I would be able to use it along with other Landsat multiband images for time series analysis. Could you suggest any method or tool to implement it? The problem is that there is no color pair images as a training image. Thanks and I will be watching for your reply.
Hi sir, I am a beginner in deep learning . one doubt: Using CNN if we created an image classifier, and its validation accuracy is 90% above, but testing is so poor. it is overfitting right ,,so can i use k fold cross validation to solve this?
I have used GTOS mobile dataset and 1 lakh images .. Training data splitted to training set and validation set and test set used for testing
done...thanks
sir which pre trained model is more suitable for brain tumor classification please replay me... thanks
is there any tutorial to make a custom dataset for this case?
where you train your model with large dataset because it unable to train in my PC
Great. Please do work on the tutorial for Python too!
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Thanks!
Thanks...
Thanks it was great. I need to learn how train skin diseases image classification and pridiction with the accuracy 4 types skin diseases or if you have a tutorial give me link
Bruh.. I was using Vscode and importing tensorflow works fine but from tensorflow.python.keras.preprocessing import Image gives import could not be resolved..?
Thank you so much :)
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Can you please post step by step tutorial for Pan sharpening using Deep Learning?
Thanks
hey man awesome tutorial, but on my end, i couldnt use resized_img becasue it would throw a syntax error. so i had to ued resize_img instad. also my predictions = mobile.predictions(final_mimg) does not work and kills my kernel.
any idea how to fix this?
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Thq sir
Please do video on image classification using Fixefficientnet..it would be a great help
Thanks in advance
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Lah irhm l walidin u saved meeee
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Can u make more videos on this possibly on food recognition using a large dataset? PLS ty
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thank you soo much sir
Here's a project course you'll. It's paid but it's worth it.
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Hello sir, it is possible to classify animal-trapped camera images and segregate them into folders using an automatic process. This can be done using machine learning and computer vision techniques. Please make a video. I work in the forest department. Many Photographs capture a maximum of 18 lakhs. One by one segregation of having a problem. Please help us
can we make a confusion matrix for this problem?
Hello sir I am a beginner, wildlife Trapped camera approx 20 lakhs photographs, how to image classify and automatically segregation. Please help me
Sir where did u load ur data set
Request to make more videos sir ❤️
Here's a project course you'll. It's paid but it's worth it.
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wow
can you tell me how to do like this with python:
detect an image on an application and if the image is not there search for the image again
and if it's there then do something.
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Very useful, but I thought it's for classification but you told about Image recognition, can you pls tell me where can I find it.
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Hello sir , i can't import imagenet_utils could you please help me to solve this issue.
(it shown me this bro "ImportError: cannot import name 'imgenet_utils' from 'tensorflow.keras.applications' (unknown location)
")
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sorry in which version of tensorflow?
thank you for every thing
Sorry for being late in replying and thank you so much for your interest. We have used Tensorflow 2.0., however, the example we have used will also run in Tensorflow 1.14 onwards and all latest versions hopefully.
Hi Sir... Very good tutorial. I am PhD student and I do faced some problems in developing my work. appreciate if i can contact you to get more advice..Thanks a lot
Thank you for your interest, you can post your problem here in comments, so that others can also get benefits, together we can learn from each other, so I would love to proceed to the best of my knowledge. Stay blessed.
@@deeplearning_by_phdscholar6925 I need to develop deep learning for lung segmentation. I am having an issues to start and i need guidance to begin my development. Especially in the segmentation part.
Hello we have a problem code how to load image data example here FileNotFoundError: [Errno 2] No such file or directory: 'Pictures/Mikrolet/train/_01.jpg'
please help me
how to use neura lnetwork for face recognition
Assalamu Alaikum
Could you please make a video on food ingredients recognition ?? Please
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can u plz give me a sugestion if i ask u a question
can i use mobilenet offline
Sir how can I contact you ?
I am having business and facing some serious issues.
I need your consultation sir. How can j contact you ?
file not found error please tell me how to set path
Sir what is your phd topic
Bro Which place in South Korea ? Am also live in South Korea. Am studying Kunsan National University (Computer Vision).
can you share the code link in Github
Brother are you from Bangladesh?
Shan bhai! If I want to multiply a number with a specific row in 3x3 matrix in numpy array, then how should I do that?
>> import numpy as np
>> Mtx = np.ones((10,10)) # define ones matrix of 10rows and 10 columns
*** Typical method without NumPy *****
>> Mtx[[1,3,5],:] = Mtx[[1,3,5],:] * 8 ## multiplying row number 1,3,5 with 8
>> print(Mtx)
[[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]]
>> Mtx[[7],:] = Mtx[[7],:] * 5 ## multiplying 7the row with 5
>> print(Mtx)
[[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[5. 5. 5. 5. 5. 5. 5. 5. 5. 5.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]]
Or using***** NumPy*****
>> Temp= np.dot(Mtx[[9],:],3) ## pick the 9th row and multiply 3 with it
, you can use multiple rows as above
>> Mtx[[9],:]=Temp ## replace the matrix with the answer of the row
>> print(Mtx)
[[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[5. 5. 5. 5. 5. 5. 5. 5. 5. 5.]
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[3. 3. 3. 3. 3. 3. 3. 3. 3. 3.]]
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Hello sir,
Nice explanation sir
Can u plZ tell how we can use gan for data augmentation and deep learning alexnet /resnet-50/ vgg 16 for classification
hey bro, awesome video. i learned alot. how do i send some donation as my appreciation for u. i wish there's join button
final image doesnt work pls help
Hi bro... I am final year mechanical engineering student... I need some help regarding human posture deduction... Can you share your linkedin account name or mail id... It will be really helpful for me
why do we need the fourth dimension
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Starts from 11:00
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Is there code for this?
GOOD! but could be better.
No module named Ipython
hey, I've got the same problem when following this instruction. Did you find a way to solve it?
38:00 in short
hi sir thanks for this amazing lecturd but I get an error fro line 35 "'imagenet_utils' from 'tensorflow.keras.preprocessing'"
Dear Sir
Thank you very much for your helpful information.
I hope if you can give me an advice:
I want to use FPGA to implement moving object traking.
Which is the suitable algorithm for that?
Thank you and I am looking forward to hear from you.
I hope if you can give me your email if possible.
sir i have a project in which i have to use fpga could u please give me a hand in it