Create a Confusion Matrix for Neural Network Predictions

[@deeplizard]

👉 Check out the blog post and other resources for this video: 🔗 deeplizard.com/learn/video/km7pxKy4UHU 👀 Come say hey to us on OUR VLOG: 🔗 kzbin.info

[@BeCorbie]

This series is absolute gold! I'm currently working on a thesis about deep neural networks and you are helping me a lot :)

[@tymothylim6550]

Thank you very much for this video! It was great to know that there is a function provided already to plot the confusion matrix! It definitely helps me present my assignments more clearly!

[@Sikuq]

I appreciate that your later videos are in higher resolutions. It makes your videos much easier to read code from as compared to the competitive environment. Thanks.

[@deeplizard]

Thanks, Christian! Our audio/video recording and editing skills have greatly improved since the original Keras content with created, so we thought it deserved an update.

[@strongsyedaa7378]

@@deeplizard I am very much confused in the difference between keras & Tensorflow? Confusion matrix in Multiclass classification Pretrained models ( VGG16) Redundancy Feature engineering Kindly make videos on it please 🙏

[@2163o3612]

I just finished your reinforcement learning video series. It was great. Very good code organization, and fairly thorough but not overwhelming explanations of the underlying mechanisms of reinforcement learning. Thank you.

[@2163o3612]

For an update, I just managed to use the deep Q learning videos to solve my own reinforcement learning problem by making slight modifications to your code. Very excited. (Still may have some bugs though).

[@jurgenk.4434]

I‘m curious how to handle generator as source for confusion matrix input. Any examples available? Thx in advance

[@rezakazemi841]

perfect and very useful

[@amankinde6610]

omg thank you sister

[@loyaniloyani8565]

How can one plot a confusion matrix for a segmentation model?

[@aswink4300]

Thank you guys.. waiting for next

[@pondskoi2073]

Is Confusion Matrix generated for both train and test data ?

[@mikeguitar-michelerossi]

thank you, very accurate!

[@abdullahyousef3596]

Hey, thank you so much for this video it was so helpful, but I faced one problem and it was that I can see the confusion matrix shows you (I mean the graph), please help me Note: I am not using Jupyter Thanks!

[@MuhammadArnaldo]

Hi, how to do this for multiclass output?

[@amanshaikh7413]

First of thank you so much for this awesome channel .....Really loved it... I had to ask something After plotting the matrix Im getting total of 2100 predictions instead of 420 just like ur result Can you please explain why ?????

[@gopikagopan2690]

How confusion matrix got the actual target values from the testing dataset which was unknown to the model.

[@deepjariwala1521]

Can you help me as i am facing difficulty in processing the image data which has 60000 images i have configured gpu in tf using your video but it is still take too much time

[@radhikapatil8003]

Please do a video on mobile net V3 for image classification 🙏

[@deeplizard]

Hey Radhika - We have episodes on an earlier version of MobileNet starting at the link below. You should be able to follow the same process with MobileNet v3 instead without much change. deeplizard.com/learn/video/OO4HD-1wRN8

[@radhikapatil8003]

@@deeplizard thank you so much I will check it out🙏❤️

[@Oof_the_gamer]

can someone send me the code? I can't find it anywhere.

[@manueliglesias1499]

where is the cm_plot_labels variable created? :(

[@javaidahmadwani3446]

Firstly I am thankful to you, I have learn lot from this channel. I really love ❤️ this channel and your efforts. Stay blessed my prayers are always with you. I have fine-tuned vgg16 and got 99 training accuracy and 96 validation. My dataset contains 87k images of (38 classes )different plant leaves. But unfortunately my code unable to plot confusion matrix. It will be great sympathy if you will to resolve the error. Will attach all the code in next comment.

[@javaidahmadwani3446]

github.com/javaidatgithub/Plant-Disease-detection-and-Classification-using-Deep-Learning

[@javaidahmadwani3446]

Plz help me.

[@javaidahmadwani3446]

Confusion matrix for binary classification works pretty well. But for multi classes doesn't work, Plz make a tutorial on confusion matrix for multi classes image classification. We are waiting patiently.

[@deeplizard]

I've never attempted to plot a confusion matrix with this many classes, however, you can see in the later episodes of this course when we fine-tune MobileNet, we plot a confusion matrix with 10 classes with no issues. Maybe this thread will be of use to you for the case of many classes: stackoverflow.com/questions/35572000/how-can-i-plot-a-confusion-matrix

[@javaidahmadwani3446]

@@deeplizard Mam plz I have fine tuned vgg16 , vgg19, mobilenet, and own cnn model It is my academic project. I have to submit it before 13th July 2020. Plz help me I have searched errors on stack overflow, github and kaggle but unfortunately did not resolve the same error.

[@arjunkashyap8896]

You don't open with "Whats up guys" anymore. 😂😂 Great content as always..

[@abail7010]

Nice video! Are you planning on creating tutorials for federated deep-neural networks using tensor flow (or other libraries)? :)

[@deeplizard]

Maybe sometime in the future :)

[@strongsyedaa7378]

Kindly make a video on confusion matrix in multiclass classification please 🙏

[@mylifechangingpoint]

Where is the setup video. These are not numbered so I am searching at random.

[@deeplizard]

Random search is inefficient. Improve your search algorithm. Try reviewing the video description line by line 🤓

[@dr.parvathavarthinek5466]

Is it possible in R programming...

[@oueslaatirania1708]

Thanks a lot

[@maryamateef9725]

TypeError: plot_confusion_matrix() got an unexpected keyword argument 'classes' then I changed classes into labels TypeError: plot_confusion_matrix() got an unexpected keyword argument 'labels' can anyone help?

[@علیرضاقنبری-د1ق]

Hello dear teacher, in the teaching section of confusion_matrix After entering the libraries in the second line, an error is given. What is the reason for this error? I will type in which part the error occurs. In this section, please check and inform = cm = confusion_matrix (y_true = test_labels, y_pred = rounded_predictions) ==================================== The error related to the above code is as follows: ValueError: Found input variables with inconsistent numbers of samples: [420, 2120] ======================================= Thank you for replying to me as soon as possible Thank you for your infinite grace Aliza, your student

[@zenchiassassin283]

Oh nice !

[@parasjain06]

background sound reminds me of GOT(Game of thrones) :D

[@aamirali4635]

Mam this is my project name... Real-Time Patient-Specific ECG Classification Using Machine Learning ........... would you please.. do me a favor I want to know the methods that work on ECG data models please guide me, mam, please

[@tostupidforname]

Hey maybe im missing something but the sklearn implementation seems to take different arguments than the version used in the video. Did you do this because sklearn doesnt recognize the NN as a classifier?

[@deeplizard]

What do you see that is different? When I look at the confusion matrix docs, it appears the parameters are the same as used here.

[@333JaydeeP]

@@deeplizard def plot_confusion_matrix(estimator, X, y_true, *, labels=None, sample_weight=None, normalize=None, display_labels=None, include_values=True, xticks_rotation='horizontal', values_format=None, cmap='viridis', ax=None) These are the parameters

[@HenriqueOz]

@@333JaydeeP yeah, it is different. The plot_confusion_matrix from sklearn makes the calculation for the cm and also plots it. Here we are first making the cm and then passing it to the plotter function. Not sure if this is new, though....

[@علیرضاقنبری-د1ق]

Hello dear teacher, in the teaching section of confusion_matrix After entering the libraries in the second line, an error is given. What is the reason for this error? I will type in which part the error occurs. In this section, please check and inform = cm = confusion_matrix (y_true = test_labels, y_pred = rounded_predictions) ==================================== The error related to the above code is as follows: ValueError: Found input variables with inconsistent numbers of samples: [420, 2120] ======================================= Thank you for replying to me as soon as possible Thank you for your infinite grace Alireza, your student