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🥰🥰 bhai maja agya thank you vmro

Thankyou brother Thankyou ❤️ 🙏 💙 🙌

Wooo ... Beautifully explained. Thanks

Please make one video on bert model with such custom dataset sir it will really help me and our subscribers family 🙏🏻

This is a great video there is no explanation of backpropagation in theory video only a feedforward explanation is there

This is a great video. Understood every step of feed-forward network. Where is 2nd part? is it uploaded? Could you please provide a link?

Quality Content ...Keep Going Sir

Thank u. this video has helped me twice.

how to install darknet in local system?

Hi all, Could someone help me how to resolve the below error? line 15: layer_out = net.forward(last_layer) error: error Traceback (most recent call last) Cell In[15], line 1 ----> 1 layer_out = net.forward(last_layer) error: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\layers\fully_connected_layer.cpp:216: error: (-215:Assertion failed) srcMat.dims == 2 && srcMat.cols == weights.cols && dstMat.rows == srcMat.rows && dstMat.cols == weights.rows && srcMat.type() == weights.type() && weights.type() == dstMat.type() && srcMat.type() == CV_32F && (biasMat.empty() || (biasMat.type() == srcMat.type() && biasMat.isContinuous() && (int)biasMat.total() == dstMat.cols)) in function 'cv::dnn::FullyConnectedLayerImpl::FullyConnected::run'

Everything was fine until you hard coded the thresholding values . This hit and trial is difficult especially with an actual dataset.

anyone following along using the label studio app which is newer version of labelmg should just annotate their dataset and then press exposrt scroll down and then click export in yolo format and then follow along

Tensorflow 3.7 only available

Python genrade error please kindly help me

thanks bhai

Awesome video! Thank you for simplifying things so well.

What if we have a multiple label...what should i give in class_mode ?

Thanks sir it helped a lot

Sir, please the link to the dataset, it saying the page can't be found

thank you prof ♥

are these using mobilenet architecture?

Where is the github link

awesome

The file that you have provided has error :(

Excellent video thanks alot.

we need to use new images for validation??

Life saver, Was working on a college level project where i had to create my own dataset with small size and was searching N number of videos on them but failed every time, Your video made me to complete the process in a very short time Thankyou so much

Crystal clear implementation of CNN

This is such a great video

Hey ... if i run this code : !python custom_data/creating-files-data-and-name.py i got this error : Traceback (most recent call last): File "/content/drive/MyDrive/yolo_custom_model_Training/custom_data/creating-files-data-and-name.py", line 61, in <module> for line in txt: File "/usr/lib/python3.10/codecs.py", line 322, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf6 in position 8: invalid start byte can anyone help me to solve this problem.....

Very good explanation. It made the concept clear. Thank You 💙❤

Sorry: Your title says visualization Plotly; Dash; Matplotlib. But you are showing graph in Jupyter notebook. It is misleading i.e. you are saying something and doing something else in the video.

Sir iski theory m kya likhenge

Cool..

thanks a lot for your help

update code I use so far and works for me dic = {} for row in range(len(column_data))[1:]: a_data = column_data[row].find_all("a") if a_data: # Check if the list is not empty try: key = column_data[row].find_all("a")[0].string except: key = "" values = [j.string for j in column_data[row].find_all("td")] dic[key]=values df = pd.DataFrame(dic).iloc[2:,:] df_reset = df.reset_index(drop=True).T df_reset

great job explaining it, you're a great teacher

Excellent ji.Really very good explanation with real time image's 🎉🎉🎉

Thanks for this video

Thanks for this video

You are awesome

Dear Sir, I am a second year university student. I am doing my project about a law constitution chatbot. For this, I have to create an NLP based model to get the user input (like a legal issue) and map it with the dataset of laws and retrieve the relevant or the matching laws. Can you please do a video for this and using the word2vec model. Also if there are any sources for me to refer, please recommend me some. Thank you so much...

Very Nice Explanation,Sir.Needs More Tutorial from you.

helpful, was looking for someone to explain the concept behind the formula.

My training is abruptly stopping after 3-4 hrs. (no error message) and nothing is stored in backup folder. I am training for 2 classes. What could be the possible reasons.

u r explaining awesome but how to apply for image datasets

thanks brother

This is the best explanation I've found. Everyone else tends to confuse me when they talk about the operations and dimensions, but here everything is clear. Thank you.

for class mode what if you have multiple modes instead of only 2?

sir can you give complete code which you ate in this video? Sir. I need this code