i want to generate 256X256 images and input images are also 256X256 but during epoch training it is showing 32/32 but for u it is showing 674/674 how to increase from 32/32 to 674/674
@jyotibhachinchankar63863 сағат бұрын
for fingerprint image
@rajendrakumarakula36592 күн бұрын
Better than the rest.🔥
@Aspirant0173 күн бұрын
raising this error ValueError: could not convert string to float: 'Iris-setosa'
@snehitvaddi4 күн бұрын
Would you mind sharing the repo of this project please. The link in description doesn't have this particular one.
@HackersRealm4 күн бұрын
I have stored all the projects in the same repo, let me check
@HackersRealm4 күн бұрын
Project folder name is super resolution open cv
@snehitvaddi4 күн бұрын
@@HackersRealm cool. Thanks bud!
@SWJ-MKhyathi6 күн бұрын
Hi, it's a beneficial video. But how can we use this chi-square for malware detection in Android application? could you please reply me?
@HackersRealm6 күн бұрын
could you please explain this with more detail like what are the attributes you're considering?
@AdityaSingh-tu3bp7 күн бұрын
I'm getting this error displaying, "y contains previously unseen labels: angry". (I've named each of the classified sub-folder in the test folder by their expression) The error actually arises while using the transform function using the label encoder. It successfully runs the y_train but throws this error in y_test. Please support if possible.
@HackersRealm7 күн бұрын
use le.transform(), don't use fit_transform for y_test
@DisposalMail8 күн бұрын
good video. first didn't get it. but later understood the logic. thank you
@prathikacharya6928 күн бұрын
Im finding a difficult in understanding question and logic so how to improve it
@HackersRealm8 күн бұрын
Don't worry about it, even pro coders has to read the question carefully 2-3 times to better understand it. Use the sample input and output to understand quickly, that's how I do it
@prathikacharya6928 күн бұрын
Yeah still I'm unable to do it
@user-vu1ii5lr4y8 күн бұрын
Why are we removing "rad" along with "medv" for X in the Input Split section?
@pmahaur9629 күн бұрын
You create videos for us, but where and how did you learn to solve problems on HackerRank and other platforms? Please share your secrets.
@HackersRealm9 күн бұрын
I have made a video on tips and tricks for this. Please check out "How to crack job interview part 1" video for more details!!!
@grushanarsian9159 күн бұрын
getting this error ValueError: Unrecognized keyword arguments passed to Embedding: {'weights': [array([[0.24935962, 0.03655003, 0.02711191, ..., 0.77855587, 0.28553244,
@Tis_I9811 күн бұрын
Awesome class Very clear abd understanding
@Tigrou777711 күн бұрын
Is the denoiser only good at denoising images actually containing a digit ? (since digits is the only trained data) What would happen if you would input something else (eg: letter or other symbols). Would it try to morphe it to the closest digit or would it be able to denoise it properly ?
@HackersRealm11 күн бұрын
this is for only digits data, for others, we need to increase the dataset size with the samples that we want to denoise
@Tigrou777710 күн бұрын
I anwser my own question : I have try to input letters to an autoencoder only trained with digits : TL;DR : it does not work very good. The output is mostly digits, usually with a shape as close as possible to the input letter. For example "Z" will usually output "2", "C" some sort of "0" and so on.
@DataCraftersHub11 күн бұрын
hi i need a solution for a problem
@Satvik__Jain14 күн бұрын
I came here from your repository you have such great repos backing your skills wonderful
@HackersRealm14 күн бұрын
Thanks for your kind words!!!
@anshu12thhumanities2714 күн бұрын
Python se pahle Koi Aur language Aana jaruri hai ya nahin
@HackersRealm14 күн бұрын
You could learn c or c++ before python as that's the fundamental for programming languages
@manojshendre-np9nw15 күн бұрын
can anyone please reply What if i also have the bounding boxes for each image along with the captions. how should i map it??
@sudeshnakundu390917 күн бұрын
Thanks for this video, explained well! Can the model predict on monuments and historical structures? I mean can the model predict on totally unseen data and can you please make a video of how to put entity awareness on top of it
@HackersRealm17 күн бұрын
yes, but you have to train with more data for better results, I have used smaller dataset for the demo
@muheet_-m118 күн бұрын
After training the model with 20 epoch , and saved in best_model.h5 now how can I load the data ??
@muheet_-m118 күн бұрын
Can anyone please help me
@assortedDreamer18 күн бұрын
That's a great solution, and I understand the logic that's great. Sometimes, we are not able to think such logic and use a complex solution, what would you recommend for that.
@swetalj726519 күн бұрын
i did not get no overlap and overlap conditions ,why they are written for?
@swetalj726519 күн бұрын
return dp_str[-1][-1] didnot understand why so?
@kaptenkaizo648421 күн бұрын
hi what software do you use above?
@HackersRealm21 күн бұрын
It's jupyter notebook
@ocraking22 күн бұрын
what an amazing video
@kearneytaaffe705924 күн бұрын
This problem is much harder than what you made it seem. Also, it should be noted there are 2 problems we must solve. First, what is the GCD (greatest common denominator) of array b. Second, what are the unique products of array a. Both of these are actually complex Here's my ES6 solution ``` // Find GCD using Euclidean algorithm function gcd(acc, curr) { return curr === 0 ? acc : gcd(curr, acc % curr); } /** * @param {Array<number>} a * @param {Array<number>} b */ const getTotal = (a, b) => { // Find GCD of array elements B const gcdValue = b.reduce((acc, curr) => { if (acc === 0) { return curr; } return gcd(curr, acc); }, 0); console.log(`GCD is...${gcdValue}`); // find all unique products from array a /**@type {Set} uniqueProducts */ let uniqueProducts = a.reduce((acc, curr) => { for (let i = 0; i < a.length; i++) { acc.add(curr * a[i]); } return acc; }, new Set()); console.log(Array.from(uniqueProducts)); // make sure all unique products are divisible by the GCD let finals = []; for (let product of uniqueProducts) { if (gcdValue % product === 0) { finals.push(product); } } console.log("FINALS:", finals); }; getTotal([2, 4], [16, 32, 96]); ```
@YetiRUS25 күн бұрын
Это не работает. Сборка CMake прошла успешно. Но импорт cv2 невозможен >>> import cv2 Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'cv2'
@HackersRealm25 күн бұрын
kindly check the environment you're trying to use, I have used anaconda environment and installed there for usage.
@YetiRUS24 күн бұрын
@@HackersRealmя не могу найти в CMake параметр BUILD_opencv_python3
@soumiatouaibia972226 күн бұрын
i got ( tqdm.notebook not defined ) what can I do please !
@HackersRealm26 күн бұрын
this is a module import, if you're running this in local machine, try updating the module 'tqdm' and run again
@soumiatouaibia972225 күн бұрын
Now i got name 'append' is not defined !
@HackersRealm25 күн бұрын
@@soumiatouaibia9722 Are you using the same notebook which I shared in the github, because append is a list operation, it won't cause an error, it's strange.
@omkarkumbhar62326 күн бұрын
YOUR HACKERANK SERIES IS EXCELLENT, THIS IS VERY HELPFUL, YOUR EXPLAINATION IS EASILY UNDERSTANDABLE 👉Make video on DSA LEETCODE QUESTION SERIES USING PYTHON LANGUAGE OR 👉MAKE VIDEO ON LOVE BABBAR DSA SHEET QUESTION SERIES using python dsa using python series not maked by any you tuber,
@HackersRealm26 күн бұрын
planning to do that soon as many requests came for that. Will be covering few more base concepts in AI and start with DSA for continuous tutorial
@PamTiwari26 күн бұрын
The expression a[ : : -1] is a slicing operation in Python that reverses the list a. Here's a breakdown of how it works: a[start:stop:step] is the general form of a slicing operation. start is the index where the slice starts (inclusive). stop is the index where the slice ends (exclusive). step is the increment between each index for the slice. When you use a[ : : -1], you are setting: start to nothing (defaulting to the start of the list), stop to nothing (defaulting to the end of the list), step to -1, which means you go through the list in reverse order. So, a[ : : -1] creates a new list that contains all the elements of a but in reverse order.
@Stains-lz9pz28 күн бұрын
Bro I got error in the final part... history = model.fit(X, y.toarray(), validation_split=0.2, epochs=100, batch_size = 512, shuffle = True) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray). what to do?????
@HackersRealm27 күн бұрын
Can you check whether both x and y are numpy array?
@Myvlogs_since2021Ай бұрын
How to add Grey Wolf Optimization . I am using medical images.
@ImPerfectFilmsАй бұрын
What a shitty video - no problem statement -and solution explanation, no conceptual walkthrough just directly jumping into code
@BLOCKBUSTERMOVIES1-br9ysАй бұрын
How to fix this error please:CMake Error at modules/dnn/CMakeLists.txt:41 (message): DNN: CUDA backend requires cuDNN. Please resolve dependency or disable OPENCV_DNN_CUDA=OFF
@HackersRealmАй бұрын
You need a nvidia graphics card and install the cuda toolkit to avoid this error
@danielobere5595Ай бұрын
Is the height not 3?
@Monika-ku1jwАй бұрын
how can we convert these scrapped data's in excel sheet
@HackersRealmАй бұрын
you can export the dataframe that is shown in the video, df.to_csv('filename.csv')
@the_faraazАй бұрын
catboost not working
@HackersRealmАй бұрын
may I know what error you're facing
@gouthamkarakavalasa4267Ай бұрын
Please create full series on Langchain.. It would be a great help..
@HackersRealmАй бұрын
will be creating a end to end application soon using langchain
@neeveshjainАй бұрын
can you do some LLM based content ?
@HackersRealmАй бұрын
yeah, will cover all the left out topics soon!!!
@neeveshjainАй бұрын
nice video bro
@DarkShadow-bq5ybАй бұрын
Can you make video how to implement AI for visualisation in Ml project
@HackersRealmАй бұрын
yes, planning to make videos for all basic concepts
@keerthanarajendran5791Ай бұрын
How to fix "gaierror" at extracting image features? Please help.
@adnanshahid3452Ай бұрын
Brother I am waiting for the upgraded version of your video on speech emotion recognition, where emotions will be detected in real time. Please make a video on that
@HackersRealmАй бұрын
yeah, planning to do that
@adnanshahid3452Ай бұрын
@@HackersRealm looking forward to it Sir
@neeveshjainАй бұрын
@@HackersRealm me too
@BeautyoftheWorld-rt9nwАй бұрын
bro i need your whatsapp number
@happyshadowwishesАй бұрын
thank you
@HackersRealmАй бұрын
Always Welcome!!!
@grandson_f_phixis9480Ай бұрын
Thank you very much sir!!
@grandson_f_phixis9480Ай бұрын
Thank you very much sir!!
@Hodemaru1198Ай бұрын
Hey brother, whats code editor did u use?
@HackersRealmАй бұрын
It's kaggle IDE
@yigitmuratozer7833Ай бұрын
What I have to do if I want upload a picture from out for processing
@yigitmuratozer7833Ай бұрын
You're acting on a dataset that already exists
@HackersRealmАй бұрын
You can upload the new image and do preprocessing like we did it in the prediction process and do the prediction. Only change is the path will differ for the image
@moviehacks7866Ай бұрын
Im unable to load the dataset in jupyter,can you plss explain?
@HackersRealmАй бұрын
I was using kaggle notebook, please use the correct path where you have placed your dataset