My first formal introduction to Keras. Half way through. Did not think I will make it this far without difficulty. Your narration style is not a chatty style. It is more like a professional news reader. But your script anticipates everything and preempts the questions that arise in the mind. That makes it effective. Will continue again tomorrow.
@dhananjaygola4786
3 жыл бұрын
Well there are quite few like them on KZitem that provide our generation the best of their content, explaining every aspect of computer science Rather we should give them atleast give them some appreciation The internet is expanding tremendously and these are our hero(s) which make internet a golden source of knowledge.
@Nootey33
2 жыл бұрын
@@dhananjaygola4786 well, to expand on your point, you should name a few of them.
@dhananjaygola4786
2 жыл бұрын
@@Nootey33 don't worry just believe in youtube recommendation Ai & soon you'll find them
@pumkinjellybean
2 жыл бұрын
@@dhananjaygola4786 what are the other channels pls?
@mimichelle_
Жыл бұрын
You are absolutely right on! This is a great presentation.
@paulmcwhorter
4 жыл бұрын
This was an excellent instruction set. Really appreciate all the work on it.
@deeplizard
4 жыл бұрын
Thank you, Paul!
@zaief7016
3 жыл бұрын
@Paul Mcwhorter So good to see u here sir! I'm currently doing ur Arduino lessons and that's really amazing
@paulmcwhorter
3 жыл бұрын
@@zaief7016 Thanks, yep, I am always trying to learn as well.
@l.halawani
3 жыл бұрын
:)
@carkod
Жыл бұрын
All I can think of is laying with her in the bed behind her
@md.fazleyrafy8015
4 жыл бұрын
26:16 , the parameter "learning_rate" has been renamed to "lr" from version 2.2.* to 2.3.0 in September 2018
@dikshyantthapa3367
4 жыл бұрын
Glad I'm being taught by Gal Gadot. ☺️👍
@deltaforce3329
4 жыл бұрын
Me too !!
@code-to-design
4 жыл бұрын
I saw abella danger
@ALEXGIBSONCMG
4 жыл бұрын
Definitely that kind of Pokemon for sure, Gal with the makeup on it's hard to tell, but no makeup they are the spitting image of one another, forget being a programmer, she should be a body double
@ALEXGIBSONCMG
4 жыл бұрын
@@code-to-design bruh
@thryce82
4 жыл бұрын
freckles just saying. tbh its awesome to have an instructor who is an attrctive gal. good to see the stereotype of good looking ladies being bimbos is really being proven to be foolish. though like 75% percent of tech jobs are still held by guys so if u learn all this and get a great job it wont feature as many as it should which is the personification of :(
@avidreader100
3 жыл бұрын
Feedback on video production. When the discussion is about the last few lines in a screen, it is difficult to watch the screen when it is overlapped by the subtitles. You are capturing the screen showing jupyter and not using slides, and hence it should be easy for you to scroll the jupyter notebook to make the line under discussion to appear in the middle.
@palashkadam6404
4 жыл бұрын
Thank you Mandy. This was a great tutorial or insight given on deep learning. This is surely the best one I have seen on KZitem. Thanks a lot again for your efforts 😊
@deeplizard
4 жыл бұрын
Glad to hear that, Palash :)
@ssotkow
4 жыл бұрын
Near-zero computer programming training. Just admiring from the nosebleed seats the codes that go into making the fundamental building blocks of neural networks similar to how our human own brains functions. Recently read Max Tegmark's Life 3.0 book on AGI which have peaked my interest in deep learning.
@luisgustavopecanha5507
4 жыл бұрын
Great book dude ! Read it beginning of this year. I would highly recommend Nick Bostrom's Superintelligence which I personally think gives even better insights about artificial intelligence.
@tanguero2k7
4 жыл бұрын
Your multi-API approach (plus CPU/GPU heads up) was indeed a major factor to consider while choosing a source of insight into Keras. Thank you for the thorough and very well presented content.
@deeplizard
4 жыл бұрын
Great to hear. You're welcome Filipe!
@danieljdick
4 жыл бұрын
Since my laptop did not have a GPU, it threw an error, so I added an if statement in case the length of the device array was zero. I was a little green with envy when the vgg16 ran 8 to 10 seconds per epoch on your system, but my laptop with an i7 and 24 gig of RAM and 1TB of SSD took a whopping 850 seconds more or less per epoch. I suspect it's running single-threaded, and I vaguely remember something about an option to open this cpu to using 8 threads instead. I remember doing something like that in octave or matlab in Andrew Ng's first course or Geoffrey Hinton's course.
@adamkatav9752
2 жыл бұрын
This is the first long tutorial I watched from start to finish and it says a lot! Thank you very much!!!
@isingcauseimliving
4 жыл бұрын
Thank you Deeplizard and Free Code Camp. Its a great tutorial and a good video. I have been learning ML and DL, started out recently. However, its only after seeing this video that I know that I think I have the confidence to carry out something on my own, now. Thank you to the Keras and TF2 team as well.
@alanraftel5033
3 жыл бұрын
I enjoyed watching this tutorial, I ended up finishing the whole video without realizing it, thanks!
@valpruzhanovsky9383
Жыл бұрын
This was the answer to my prayer. I know linear algebra and Python. I just needed some specific code examples with comments. Thank you!!!
@eismccc
2 жыл бұрын
You are so incredibly easy to listen to for hours on end, very well done I look forward to learning a bunch more from these videos
@runawaypinecone7304
3 жыл бұрын
Love the course! Hate the constant ads youtube
@tzvassilev
3 жыл бұрын
Great material, just one remark at 14:40: according to your problem definition the sample sizes should be 50 and 950, hence the second loop should be for i in range(950).
@vidathgunathilake
3 жыл бұрын
Yeah, i think it is a mistake.
@welderknaf8701
2 жыл бұрын
It's "~"95%, not 95%
@visalinikumaraswamy6431
2 ай бұрын
There are 2100 patients.
@takauyamurengwa1250
2 жыл бұрын
Dear Lady DeepLizard, Thank you so much for the energy, time and thought you've putting this course! I have benefited a lot from your channel,
@mohammedzia1015
2 жыл бұрын
One of the best videos on Keras Deep Learning. Thanks for your wonderful teaching.
@michaelbyron9688
4 жыл бұрын
Mandy , your are a very gifted instructor. There have been hundreds of instructors in my life and your are the BEST!
@kodiererg
3 жыл бұрын
This is excellent. I'm glad I spent a lot of time learning about machine learning and deep learning theory before I started this so I understand basically what is going on, and this is a super simple API. I think I'll use keras primarily, but I think I'll also learn tensorflow more thoroughly just in case.
@rabomeister
2 жыл бұрын
no one gives a shii
@raghavbhardwaj3581
2 жыл бұрын
I cant describe in words how much this video helped me with my research project! You are a great teacher, Thankyou so much!
@meerabai8163
4 ай бұрын
hey what was your research project?
@SF-fb6lv
3 күн бұрын
Super good production! Thank you!
@legacies9041
3 жыл бұрын
Mandyy! You came and you gave without taking!!
@NikhilSandella
4 жыл бұрын
Finally, the wait ended. Thanks guys. Lots of love!
@sandyjust
4 жыл бұрын
absolute gem!! Way better than all those paid courses.
@engr.ajaowasiu5511
2 жыл бұрын
Brilliant illustarations and best DL material I have seen. Thank you, Andy.
@amanuelgetachew634
Жыл бұрын
*Mandy
@goldlenz1375
3 жыл бұрын
WHOA ... this instructor is sooo smart!
@kaib5048
Жыл бұрын
Great course, I've been following this for the last week. Well organised and presented..
@surajmore3755
2 жыл бұрын
Fall in love with u for ur tutorials deeplizard 🦎 ... super cool. Hope that learning would be continue... Thanks a lot👩🏫
@zhenhuahuang291
3 жыл бұрын
This is a great tutorial for Keras image classification. Can you do a similar one for object detection using Keras? That would be very helpful.
@qaw54
2 жыл бұрын
Such a detailed and amazingly designed course. Covered every question I had in mind!.
@sadmansakib00
3 жыл бұрын
1:03:45 I think all the photos were meant to be directly under the dogs-vs-cats folder as per the later demonstration. Cause at 1:08:33, all the remaining photos were directly under dogs-vs-cats folder. Not dogs-vs-cats/train.
@54M1WUL
2 жыл бұрын
did u get past the for loops part? at 1:08:14
@54M1WUL
2 жыл бұрын
ive been stuck on it for ages
@54M1WUL
2 жыл бұрын
the error that is occuring is a valueerror
@vivekdalal1724
Жыл бұрын
@@54M1WUL same
@yangsong6111
4 ай бұрын
Hope you could see it. I renamed the folder train containing all the pics to trains. And then updated the code as below, it works on mac. os.chdir('trains') for i in random.sample(glob.glob('cat*'), 500): shutil.move(i, '../train/cat') for i in random.sample(glob.glob('dog*'), 500): shutil.move(i, '../train/dog') for i in random.sample(glob.glob('cat*'), 100): shutil.move(i, '../valid/cat') for i in random.sample(glob.glob('dog*'), 100): shutil.move(i, '../valid/dog') for i in random.sample(glob.glob('cat*'), 50): shutil.move(i, '../test/cat') for i in random.sample(glob.glob('dog*'), 50): shutil.move(i, '../test/dog')
@SaveManWoman
3 жыл бұрын
I am not a programmer/coder. I found this video very soothing and inspiring simply the vision it infused in creative aspects. I sat 6 years in the hole so the slightest intellectual understanding blows up into wisest yet connected set for output variable. I am a mystic, someone needs to code what I see.
@Ragnarok540
3 жыл бұрын
I think it's better to learn to program.
@carkod
Жыл бұрын
You need to see a pychiatrist
@Damadori
Жыл бұрын
You're the chosen one padawan.
@avidreader100
3 жыл бұрын
Finished this. Liked it very much. Going to your website to find more.
@jjrossphd
2 жыл бұрын
Thanks for a well prepared, well organized, professional presentation. GREATLY appreciated
@techlead...
4 жыл бұрын
I thought its a hotel Trivago new advertisement.
@programmingvault3248
4 жыл бұрын
IKR - I was waiting for Captain Obvious to show up!
@deeplizard
4 жыл бұрын
Lol I guess it's what happens when you film courses from your Airbnb 🤷♀️😂
@techlead...
4 жыл бұрын
@@deeplizard 😅 nice video though
@nonyabeeswax
4 жыл бұрын
reporting bias.
@luisluiscunha
4 жыл бұрын
Ahahahah
@perronemirko
3 жыл бұрын
I am an Italian guy and that is not an espresso, It is a cappuccino :D watching that part of the video was a stab to my heart :D The espresso is the Italian coffee made by the bar espresso coffee machine.
@shiva_4645
7 ай бұрын
i clicked because she was pretty, now i know about keras
@newusername-i4n
6 ай бұрын
I clicked because i wanted to watch you comment
@dashsingh30095
2 жыл бұрын
Loved your video Mandy and need more content from you. Great explanation.
@KeithMakank3
3 жыл бұрын
Very good intro example, easy to setup problem can be tweaked to explore more and doesn't require pictures or strange formats and other downloads.
@RealCasualTrash
2 жыл бұрын
*For my own reference* ⭐️🦎 COURSE CONTENTS 🦎⭐️ ⌨️ (00:00:00) Welcome to this course ⌨️ (00:00:16) Keras Course Introduction ⌨️ (00:00:50) Course Prerequisites ⌨️ (00:01:33) DEEPLIZARD Deep Learning Path ⌨️ (00:01:45) Course Resources ⌨️ (00:02:30) About Keras ⌨️ (00:06:41) Keras with TensorFlow - Data Processing for Neural Network Training ⌨️ (00:18:39) Create an Artificial Neural Network with TensorFlow's Keras API ⌨️ (00:24:36) Train an Artificial Neural Network with TensorFlow's Keras API ⌨️ (00:30:07) Build a Validation Set With TensorFlow's Keras API ⌨️ (00:39:28) Neural Network Predictions with TensorFlow's Keras API ⌨️ (00:47:48) Create a Confusion Matrix for Neural Network Predictions ⌨️ (00:52:29) Save and Load a Model with TensorFlow's Keras API ⌨️ (01:01:25) Image Preparation for CNNs with TensorFlow's Keras API ⌨️ (01:19:22) Build and Train a CNN with TensorFlow's Keras API ⌨️ (01:28:42) CNN Predictions with TensorFlow's Keras API ⌨️ (01:37:05) Build a Fine-Tuned Neural Network with TensorFlow's Keras API ⌨️ (01:48:19) Train a Fine-Tuned Neural Network with TensorFlow's Keras API ⌨️ (01:52:39) Predict with a Fine-Tuned Neural Network with TensorFlow's Keras API ⌨️ (01:57:50) MobileNet Image Classification with TensorFlow's Keras API ⌨️ (02:11:18) Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API ⌨️ (02:24:24) Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API ⌨️ (02:38:59) Data Augmentation with TensorFlow' Keras API ⌨️ (02:47:24) Collective Intelligence and the DEEPLIZARD HIVEMIND
@cutlerwhitely2269
3 жыл бұрын
Perfect, code explanations were clear and straightforward
@shahrilnizam25
2 жыл бұрын
2:26:42 You need to add one more layer before the Dense output with 10 neurons since the chosen modified layer is not working as for today (22nd July 2022). You can add it as x = tf.keras.layers.Flatten()(x) . Hope this helps.
@robertoprestigiacomo253
2 жыл бұрын
With this line the number of non trainable parameters is the same as in this course, but the total number of parameters and the number of trainable parameters both increase. To get exactly the same result as in the course I modified that part of the code like this: x = mobNet.layers[-6].output x = tf.keras.layers.GlobalAveragePooling2D()(x) output = Dense(units=10, activation='softmax')(x) I don't know which is best but if anyone wants to follow this course religiously, that works (as of 27th July 2022).
@profsrmq
Жыл бұрын
@@robertoprestigiacomo253 works like a charm!
@robertoprestigiacomo253
Жыл бұрын
@@profsrmq the funny part is that I haven't worked in Keras since July and now I have absolutely no clue about the thing I wrote and can't even remember how I came up with it 😅
@captainmustard1
Жыл бұрын
yes exactly : x = mobile.layers[-5].output x = tf.keras.layers.Flatten()(x) output = Dense(units=10, activation='softmax')(x)
@carloscampanholi4530
Жыл бұрын
i cant thank you enough for this video. God bless you.
@ujjwalbiswas1953
4 жыл бұрын
She is really good at teaching
@samielkhayri9272
4 жыл бұрын
In the first data generation step, I believe the second loop ( ~95% of young people who did not experience side effects) should be range(50,1000) instead of range(1000)
@fcraft97
3 жыл бұрын
Thank you for this nice video, it really got me started. But I think there is one bad habit involved: "Never normalize your test data on its own but rather on the train data!" (This is what you read in many forums and for example in Chollet's "Deep Learning with Python" book. I think at 43:24 it should be scaler.transform(test_samples.reshape(-1,1)) as this takes the fitted scaler from the train_samples. Correct me if I am wrong :)
@googlable
3 жыл бұрын
You're right 100%
@vijaychikkannavar5060
2 жыл бұрын
That's correct
@Kantoff13
2 жыл бұрын
@@googlable
@Kantoff13
2 жыл бұрын
@@googlable
@nikitarazguliaev1715
9 ай бұрын
Also noticed, though in this example it doesn't matter as ranges of features are the same for test and train datasets
@googlable
3 жыл бұрын
Thanks, finally someone with a normal English accent so to speak
@batumanav
Жыл бұрын
This tutorial amazingly helps me. Thanks!
@katharinasteib9032
Ай бұрын
In the newer version of the mobile model the GlobalAveragePooling2D-layer is the -5th layer (not -6) and also it hast a different shape (None, 1, 1, 1024). I used a Reshape layer and now it works evern better than in the video: x = mobile.layers[-5].output y = keras.layers.Reshape((1024,))(x) output = Dense(units=10, activation='softmax')(y)
@paulburnett1963
2 жыл бұрын
Your very talented..thanks for your well explained instructions..
@mimichelle_
Жыл бұрын
Fantastic presentation! Thanks for sharing!!
@neerajshrivastava5600
Жыл бұрын
Thank you Mandy, It was a great video with such a fantastic explanation!!!
@procodomatic
3 ай бұрын
Thank you for such a good explanation.
@satu272
4 жыл бұрын
You’re a great teacher! This was perfect, learned a lot in a short time.
@devangjoshi9639
4 жыл бұрын
Incredible video! Very well taught with clear explanations for all the different concepts. This has allowed me to put my first foot through the door to understand Keras/TensorFlow!
@perschonca
2 жыл бұрын
"alright, that's it for the manual labor" at the one hour mark haha... i love it.
@siddharthdyavanapalli4617
4 жыл бұрын
Excellent Course to understand the documentation and practice DL
@anthonyryan9846
2 жыл бұрын
Clear communicator. Interesting lessons. Good vid
@i.mandeepgoyal
3 жыл бұрын
I love you Mandy This course was awesome
@nsemichael6608
2 жыл бұрын
Great work Mandy. I really enjoyed your video. I noticed though that " classes = cm_ plot_labels" wasn't defined in the video. Hence, my plot of the confusion matrix was somewhat different. I will be glad if you define the class. Thank you.
@anandhu5082
4 жыл бұрын
1:16 I am sure I missed something, Still.... Where does that labels come from? ? How did it distinguish cats and dogs?
@mubashshiralibaig6104
4 жыл бұрын
Thank You So Much for this in-depth hands on deep learning experience
@hdhdushsvsyshshshs
3 жыл бұрын
Most beautifull teacher < 3
@FatimaYousif
3 жыл бұрын
2:46:15 your cam got augmented too (and flipped upwards) :D Nonetheless awesome course!
@rhythmsaparia8788
4 жыл бұрын
This video deserves 1 million views.
@Raj-wc3ei
Ай бұрын
This is an amazing presentation. Amy articulates the technical information in a manner I can understand. Thank you ❤
@juanete69
2 жыл бұрын
When should we use the crossentropy metric and when accuracy to optimize our model?
@Martin-lv1xw
4 жыл бұрын
You are one of a kind. Thanks much Mendy ❤️
@seanolivieri4829
Жыл бұрын
Many thanks for all the videos! I totally love them. I have a question? If I want to detect and object within a pic how would I need to prepare the dataset? I already have the labels of the objects and a bunch of photos, the train valid and test datasets
@dr.med.schlomov.aschkenasy842
2 жыл бұрын
Thank you for this very good tutorial. You are a great teacher and very pleasant to listen to. I learned a ton.
@veenasingh939
3 жыл бұрын
insane, thanks mandy for your great explanation, also really loved the background scenery of the video .
@Amir-gi5fn
3 ай бұрын
great now i should learn semantic segmentation
@TyPiEx
4 жыл бұрын
If the probability of a given older person experiencing side effects is 95% (respectively younger person not experiencing side effects 95%), I would think that the model's accuracy can not possibly be higher than 95%, is this right? Because for a random person picked from the dataset, you can only predict it with 95% certainty. This would reflect the model's accuracy of 94%.
@adamgulamhusein8768
3 жыл бұрын
yosh, you're overthinking it. If the model accurately predicts all of those who have gotten sick, it is 100% accurate. It does not depend on how accurately the model predicts in relationship to the demographic of the dataset - only the corresponding labels. Also, the dataset is more than just the "old people" we created; if the model accurately classifies 100% of the old people and 97% of young people, we should get around 98.5% accuracy.
@TyPiEx
3 жыл бұрын
@@adamgulamhusein8768 yes you are right. What I wrote then makes no sense lol
@tartelette9548
3 жыл бұрын
thanks abella danger, i learned a lot :)
@martinvera5456
3 жыл бұрын
🤣
@dhyaneswaran6449
3 жыл бұрын
Damn!!!
@TheKrausenKid
Жыл бұрын
😭😭😭 JAILLLLL
@supreme-man
Жыл бұрын
😅 damnn i thought i was the only one who saw that. She looks like a prettier Abella Danger
@harpersnyder2297
Жыл бұрын
Lmao bri
@gulshanshrivastava5343
3 жыл бұрын
This channel is a gold mine :) Keep up the good work.
@notallama1868
2 жыл бұрын
In the chapter "Image Preparation for CNNs with TensorFlow's Keras API", when and how were the labels for the images defined in the code? My guess is that it was during the calls to ImageDataGenerator().flow_from_directory() via the machine matching the passed classes to the names of either the folders or the image files, but even if I'm right, I think that should have been addressed, even briefly, especially since if we want to follow these steps for our own data, we'll need to know how to tell the machine which images are in which class.
@tonycardinal413
3 жыл бұрын
Awesome video. One ques. When you show the architecture of the model is the last number in parenthesis the number of neurons in each layer,?
@juanarturozavaleta8388
9 ай бұрын
How do I identify that the indices actually correspond the label? How if my labels are 3 and 10 for example? How I can be sure that index 0 do not correspond to label 1 and viceversa?
@josbexerr5166
4 жыл бұрын
Muchas gracias Miss Mandy....que habitación tan ordenada, saludos de Perú
@fabiovargasbr
4 жыл бұрын
I have watched this video completely. It was worth my time on a beautiful Saturday afternoon. Keep up with this nice project Mandy
@Neuroszima
3 жыл бұрын
Tensorflow + Keras technically isnt "from scratch" anymore. Those apply many abstraction and functional layers that make it calculate things for you without exposing true nature of NN.
@epicpotato1350
3 жыл бұрын
Then how would you suggest?
@nick9198
2 жыл бұрын
Did you know Python technically isn't from scratch? It all translates to machine code.. so go write in machine code if you like doing everything 'from scratch'.
@shivankitss8396
2 жыл бұрын
@@nick9198 then how would you suggest?
@nick9198
2 жыл бұрын
@@shivankitss8396 Clearly I was disagreeing with the original comment lol. I would suggest using TF and Keras and not whining about how it isn't `from scratch`.
@max_7344
2 жыл бұрын
Frameworks
@huntersmith8733
3 жыл бұрын
So cool to learn data science from Ann Perkins!
@yz830620
3 жыл бұрын
the best video ever, easy to understand. Great thanks!
@modelata4063
Жыл бұрын
at 2:09:04 into the video, the picture 2.png is identified as espresso and not cappuccino. This may be due to the fact that imagenet does not have a class by the name of cappuccino.
@Drew0Ranger
2 жыл бұрын
Hi Mandy, I tried training neural network for the clinical trials example @28:47. I am getting Nan for loss and 0.5 for accuracy. I ran the exact lines of code you did. What is the issue? BTW, I am not using the three lines of code to use the GPU.
@Elif-jn8vq
2 жыл бұрын
same here i did not understand why
@mohanbarnwal9395
4 жыл бұрын
You have such nice voice. Flatten by ur way of teaching
@konradpietras8030
3 жыл бұрын
you shouldn't call fit_transform on test_samples in 43:20. You should use the same scaler that was fitted on train_samples.
@davidzhang4825
2 жыл бұрын
yea, you only need to transform it
@dr.kerstin-evelynevoigt5061
2 жыл бұрын
Excellent tutorial. Thank you for the effort. The only drawback is that I get sleepy when I look at your background :-)
@CodeWithPrince
4 жыл бұрын
Great course, thanks guys, always know that we want 👍👍
@mancharlaravi9437
3 жыл бұрын
a very nice and clear explanation. Thank you mandy
@AmazingWorld-fw9oc
4 жыл бұрын
Really appreciate your Hardwork 👍.
@DatascienceConcepts
4 жыл бұрын
I have always been a fan of Keras! Great video.
@krishnachauhan2850
4 жыл бұрын
Did they explained audio processing also
@fazalali2894
4 жыл бұрын
@@krishnachauhan2850 They did not but the concepts can apply to that too.
@krishnachauhan2850
4 жыл бұрын
@@fazalali2894 models are Ofcourse same in deep learning...but data processing is very different. There is nothing like Audiodatastore as imagedatastore . Also wav files loading is different
@fazalali2894
4 жыл бұрын
@@krishnachauhan2850 if I were to tackle that problem I wouldn't try to use direct audio files. I don't see the benefit of that but that may be different based on your end goal. From what I have seen, log-mel spectrograms are the way to go and those can be loaded in as images (or matrices which is probably what I'd use for a more precise representation) or Stacked Spectrograms. Have you tried any of those out? If so, what problems were you facing that required the need for an audio generator?
@_seeker423
3 жыл бұрын
@1:21:00 you mentioned padding='same' means images will have 0-padding. That's incorrect, right? Same padding means that the output has the same size as input. You do mention that. Just that it won't be 0-padding. p = (k-1)/2.
@eranfeit
3 жыл бұрын
Thank you. Do you have a session plus coding on overfitting ? Eran
@jesussandoval4969
2 жыл бұрын
Not only was I not distracted by her beautifulness, I was actually able to understand everything she said. Thank you!
@СемёнСемёныч-е4д
2 жыл бұрын
Awesome, Mandy you rock
@dma6481
4 жыл бұрын
this felt very clear and easy
@DiegoXMV
3 жыл бұрын
so wonderful, hope you guys keep this up to date
@bandikomalkumar8066
Жыл бұрын
great work mam🥰, your explanation was so good. Don't mine but you look cute as Gal gadot🙄😘!
@michalziobro1984
3 жыл бұрын
I like this split into episods. As i watch this from time to time and move steady progress
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