Every time you amaze me sir. Hats off for the explanation you give.

Thanks, this is very useful!

Very helpful thank you

I was struggling with the issue of installing a package but not able to import it. Your video helped me out. Issue resolved after adding the site-packages to the sys.path. Thank you!

Hello sir, I want to use image segmentation or semantic segmentation for joints mapping in rock structure how to label the output images to get just joints in output ?? I have tried video 67 but getting very low accuracy of 60%

Thanks for the lectures. I have a questions: in every frame , we find different number of obj ( close to each other ofcourse). my problem is as following: like the first particle in 1 frame is not the same 1st particle in a second frame. maybe it is detected in 1st 3rd frames but not in 2nd. how do I manage this?

Thankyou so so much!

hello sir I am trying to install torch=0.4.1 version using conda on colab but i am unable to do so. kindly also explain what is CUDA and how to use it with pytorch

Thanks a lot !!!

Hi, great tutorial (again)! Can you please provide an instruction on how to get porespy working in colab?

You can use the --yes flag to automatically answer yes. e.g.: conda install [package_name] --yes

THANK YOU SIR

Hello Mr. Sreeni. Thank you for your amazing videos. Please, do not consider recording videos on machine learning/deep learning with C++ (Visual Code) ?. All the best.

Thank you

Sorry .... again , a very very usefull tuto great !! thanks .

@DigitalSreeni

8 ай бұрын

Glad it was helpful!

Hi, thank you very much for your work. I would like to know why after "!conda install -c condaforge pims" I have "Solving environment: failed with initial frozen solve. Retreating with flexible solve." and then the code does not work

@DigitalSreeni

3 ай бұрын

You can try setting up Conda channels and then installing the package: !conda config --add channels conda-forge !conda install pims

I followed the steps, but Colab interactive notebook boxes are not using the same python version/libraries as I installed via pip under conda. Ex. I installed keras 2.2.4 via pip, but import keras print(keras.__version__) shows 2.9 even after restarting. Also python --version shows 3.7 while import sys print (sys.version) shows 3.8 .... any tips how to make Colab notebook use the same python/pip version as installed with Conda? Thank you!

@vovaermakov

Жыл бұрын

For what its worth I found a workaround: %%python in the beginning of the cell will run the cell content with the 3.7 version that I installed. It probably won't share variables from other cells but this worked for me.

Hello, How do we create multiple env? i use conda activate [name env] that doesnt work. Could you help me?

@chrislloyd1734

Жыл бұрын

That is what I would like to know also.

@EyaBesbes-yd2gu

3 ай бұрын

I'm also facing the same problem

I tried this procedure but installing Miniconda3 with python 3.8 (which I need for my package to work) and it does not work. Essentially, after installing the package and verifying it is installed with pip list, I get: "Module not found Error". Do you have any suggestions to solve this?

@yasntrktr

Жыл бұрын

Same

That doesn't depend on your internet speed its already running on Google's cloud

In 158 b video , i am getting this error. from keras.utils import to_categorical y_train_one_hot = to_categorical(y_train) y_test_one_hot = to_categorical(y_test) ImportError Traceback (most recent call last) in () ----> 1 from keras.utils import to_categorical 2 y_train_one_hot = to_categorical(y_train) 3 y_test_one_hot = to_categorical(y_test) ImportError: cannot import name 'to_categorical' from 'keras.utils' (/usr/local/lib/python3.7/dist-packages/keras/utils/__init__.py)

@DigitalSreeni

2 жыл бұрын

See if this works: from tensorflow.keras.utils import to_categorical

@RAZZKIRAN

2 жыл бұрын

@@DigitalSreeni from tensorflow.keras.utils import to_categorical y_train_one_hot = to_categorical(y_train) y_test_one_hot = to_categorical(y_test) i tried sir, but getting error. in amax(*args, **kwargs) /usr/local/lib/python3.7/dist-packages/numpy/core/fromnumeric.py in _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs) 84 return reduction(axis=axis, out=out, **passkwargs) 85 ---> 86 return ufunc.reduce(obj, axis, dtype, out, **passkwargs) 87 88 ValueError: zero-size array to reduction operation maximum which has no identity