Whatt a video bro only live project video i have seen in my life that made me awefull great video bro it covers all the concepts and make the students strong in fundamental concepts and for newbies it takes atleast 5-10 days to just understand and execute it taies 1 month bro.
This man's presentation good, Apart from that we are more comfortable with ur way of presentation.And Your way of teaching is very easy to understand for beginners. So please do ur own presentation video. Its so helpful for many beginners.
Thanks for such well explained and fully implemented tutorials. It helps us freshers understand the best industry practices and crack interviews, because now, we would know what we're talking about. Please keep such tuts coming!
I agree the video is great, and I appreciate the author's dedication. However, a few things to improve here (sound quality and explanation) make the tutorial hard to follow.
sir please next time use different deploy techniques like aws sagemaker and aws CodePipeline or aws lambda. we have already seen this deployment 3 or 4 times.
Sir i have a doubt in 1:50 th clip in the prepare_full_model method freeze_all for loop and free_till u were iterate by for layer in model.layer: u assigned "model. trainable=False" but we have to put "layer. trainable=False"
Faced an error "Name model is not defined" in "evaluation" function of "Evaluation" class. Use "self.model" instead of "model" to avoid error. The correct implementation is as follows: def evaluation(self): self.model = self.load_model(self.config.path_of_model) self._valid_generator() self.score = self.model.evaluate(self.valid_generator) #type: ignore
If we want to add more ML models into what changes required in Project Template and deployment strategies.... Can you extend this End to End Deployment with multiple projects ??
I am trying to execute dvc file however it throws this error ERROR: failed to reproduce 'data_ingestion': output 'artifacts\data_ingestion' does not exist. Can someone tell me what should i do, i m not able find the right solution on internet.
Sir krish ur explanation is more understandable and kindly will u explain projects in upcoming videos but bappy is good too In future it will be better pls explain with diff dl project
getting this error "BoxKeyError: "'ConfigBox' object has no attribute 'artifacts_root'" when trying to execute data ingestion pipeline. Can someone tell me what should i do cuz there is no solution for this on internet.
I am stuck at 55:30 where i am not able to import the local package into main.py....I have run "pip install -e ." already. Can anybody suggest what could be the reason?
please help me in my code showing cannot refs to remote main branch the folders and files are not uploaded to repository in my account on github and m using git bash windows powersheel not anaconda so which command to b typed
AttributeError: partially initialized module 'charset_normalizer' has no attribute 'md__mypyc' (most likely due to a circular import) any one tell me why this error?
Hi everyone, has anyone got this error ''ERROR: failed to reproduce 'training': output 'artifacts\training\model.h5' does not exist'' at 2:47 when running command dvc repro in my case 1st two stages are running but at training stage I am getting above error. Any response will be highly appreciated. Thanks
hello i am getting an error in data ingestion part because of parms.yaml being an empty file Here is the error ValueError Traceback (most recent call last) Cell In[12], line 8 6 data_ingestion.extract_zip_file() 7 except Exception as e: ----> 8 raise e Cell In[12], line 2 1 try: ----> 2 config = ConfigurationManager() ... ---> 37 raise ValueError("yaml file is empty") 38 except Exception as e: 39 raise e ValueError: yaml file is empty
I too faced this issue,got rectified. You shall try this , In def _create_ckpt_callbacks(self): return tf.keras.callbacks.ModelCheckpoint( 'artifacts/prepare_callbacks/checkpoint_dir/model.h5' , save_best_only = True )
@sheikhtahamaroof8484 1 second ago paste this in your callbacks component- class PrepareCallback: def __init__(self, config: PrepareCallbacksConfig): self.config = config
@property def _create_ckpt_callbacks(self): return tf.keras.callbacks.ModelCheckpoint( filepath=str(self.config.checkpoint_model_filepath), save_best_only=True, ) def get_tb_ckpt_callbacks(self): return [ self._create_tb_callbacks, self._create_ckpt_callbacks ] there's only one change in the _create_ckpt_callbacks fxn that is the filepath should be of string type i.e. filepath=str(self.config.checkpoint_model_filepath),
After following these steps it did not work to me, furthermore I had to try to install the nvidia drivers (I could not achieve it) because torch was still working on CPU.
@krishnaik I have a issue while building the project. It might be caused due to updates in the libraries or something. ValueError: Unknown variable: . This optimizer can only be called for the variables it was originally built with. When working with a new set of variables, you should recreate a new optimizer instance. The above error is occurred while working with research/04_training.ipynb. i have tried many ways but nothing working out. Could you please help me if possible. Or anyone who got this while working?
it is because the latest custom model as saved as model.keras, you could delete the entire artifacts folder , in config.yaml rename all model.h5 to model.keras and rerun the pipeline. it should solve the issue.
@property def _create_ckpt_callbacks(self): return tf.keras.callbacks.ModelCheckpoint( filepath=str(self.config.checkpoint_model_filepath), save_best_only=True, ) def get_tb_ckpt_callbacks(self): return [ self._create_tb_callbacks, self._create_ckpt_callbacks ] there's only one change in the _create_ckpt_callbacks fxn that is the filepath should be of string type i.e. filepath=str(self.config.checkpoint_model_filepath),
Are there anyone who gets this error while training UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd6 in position 13: invalid continuation byte I cant loaded the updated model, i got this error
Just pasting the code 😢 Nothing to explain 😑 But the project is well organised If u explain each step rather than pasting the code I think it would be great
The prediction process is not working properly. both AWS and Azure. I have reached out to all team members, but I haven't received any responses. The deployment process has been completed successfully, and the application is running perfectly. However, the problem lies in the prediction functionality. Please help me how to solve it...
@@ShahbazKhan-ph3vd sir do you know, why does this error come? OSError: No file or directory found at artifacts\prepare_base_model\base_model_updated.h5
please am having this error, 841 msg = ( 842 "Argument {arg} of type {valt} to {f} " ... ---> 31 with open(path_to_yaml) as yaml_file: 32 content = yaml.safe_load(yaml_file) 33 logger.info(f"yaml file: {path_to_yaml} loaded successfully") FileNotFoundError: [Errno 2] No such file or directory: 'config\\config.yaml' Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...
Hi Krish and Bappy, I tried predicting this, but for healthy images also it is predicting Coccidiosis only. I tried increasing the number of epochs also. But nothing works. How to predict healthy images it correctly?
THE TEACHING IS AWESOME, learnt alot ... but, a game if are you are bored, drink when he says "Okay".
Whatt a video bro only live project video i have seen in my life that made me awefull great video bro it covers all the concepts and make the students strong in fundamental concepts and for newbies it takes atleast 5-10 days to just understand and execute it taies 1 month bro.
This man's presentation good, Apart from that we are more comfortable with ur way of presentation.And Your way of teaching is very easy to understand for beginners. So please do ur own presentation video. Its so helpful for many beginners.
Dot ❎ Okay ✅. Still a very Great video. Thank you for uploading such a quality content !!
You are beyond amazing sir . Thank you for all the efforts .
No words to appreciate you and your amazing commitment.Thank you man
Thanks for such well explained and fully implemented tutorials. It helps us freshers understand the best industry practices and crack interviews, because now, we would know what we're talking about. Please keep such tuts coming!
Krish, this new guy is also explaining well. All the best to him too.
thank you so much for this amazing journey
The Video and resources you provide are amazing. You explain things a little unclear tho, as if you didnt think beforehand how to explain it.
you are the best with the best content best implementation
and explanation
You're making education engaging and accessible for everyone. #NurserytoVarsity
The no. of times this guy saying okay is uncountable😂😂😂😂
Very Nice Explanation sir... Keep going...
its been amazing for me to help out to land at first job Thanks
bro do you have an AWS Account?
A video with object detection woluld be nice. Please krish please make a video
Hi Krish, that's an amazing tutorial. But if possible can you please do the same things with Pytorch? Please
lets try that ourself as an exercise for us.
Great video. thank you. Can you please explain what is entity and what's the use of updating entity and why we need it?
krish his explanation is different i got used to understand ur explanation kindly will u resume
I agree the video is great, and I appreciate the author's dedication. However, a few things to improve here (sound quality and explanation) make the tutorial hard to follow.
project explanation is great but Damn! FECAL :O
General suggestion, dont watch it while eating. 😂
Thanks for the warning bruv 😂
I should taken it serious. Now i know why you said so.
@oscarllerena2980 watch the video bro.
sir please next time use different deploy techniques like aws sagemaker and aws CodePipeline or aws lambda. we have already seen this deployment 3 or 4 times.
keep it up for other weeks too !!!!😀
Thank you Krish
Your great sir
hey, where can i find the image dataset? They are not present in the github repository mentioned int he description.
Very good, Amazing
Thank you very much for this amazing do you have any MLOPS and deployment implementation using LSTM for time series model?.
Great work, thank you for uploading such type of projects.
Sir Can you also make a vedio howlow code applications build like ML Predictive analytics? can you make a Full Vedio end to end project based plz.
Excellent video ❤
Thank you sir for the amazing efforts. Can you please help us by creating a project with respect to Cybersecurity
Hello, Thank you for the video. Do you also have similar videos of End to End deep learning project in pytorch?
sir where did you got the dataset? is the dataset available on your github repository? if then share the link sir..
Sir i have a doubt in 1:50 th clip in the prepare_full_model method freeze_all for loop and free_till u were iterate by for layer in model.layer: u assigned "model. trainable=False" but we have to put "layer. trainable=False"
Sir, Can you provide the link for the dataset ? I think many of us are having issues in finding the dataset.
Hi Krish sir next project can you made on how to create own prompt using langchain and OpenAI
Okay>>100000
In "index.html", it is mentioned that change url value. But to which url do we have to change it to?
I dont know html, so I am confused?
Update if anybody is facing issue while training replace model.h5 with model.keras and .h5 with .keras in config file you will not get any errors.
Amazing🎉
Shaadi Mubarakkhoo :D
Hey krish, loved the content!!
Is This the level-1 mlops architecture or level-0?
great job
Faced an error "Name model is not defined" in "evaluation" function of "Evaluation" class. Use "self.model" instead of "model" to avoid error. The correct implementation is as follows:
def evaluation(self):
self.model = self.load_model(self.config.path_of_model)
self._valid_generator()
self.score = self.model.evaluate(self.valid_generator) #type: ignore
and for pytorch you have to use super init
If we want to add more ML models into what changes required in Project Template and deployment strategies.... Can you extend this End to End Deployment with multiple projects ??
I am trying to execute dvc file however it throws this error ERROR: failed to reproduce 'data_ingestion': output 'artifacts\data_ingestion' does not exist. Can someone tell me what should i do, i m not able find the right solution on internet.
I want to request Krish Naik to please make these video by themselves i have watched half of the video but still not figuring out what is going on.
Sir krish ur explanation is more understandable and kindly will u explain projects in upcoming videos but bappy is good too
In future it will be better pls explain with diff dl project
Bappy should get chance too to expose his talent.
What did you not like about this tutorial? I understood about everything.
@@akj3344 people are crying because it is not Krish or Sunny.
Okay count -> infinit
getting this error "BoxKeyError: "'ConfigBox' object has no attribute 'artifacts_root'" when trying to execute data ingestion pipeline. Can someone tell me what should i do cuz there is no solution for this on internet.
@krishnaik06 please upload some end to end project in Krish Naik Hindi channel. Please 🙏
we can use this as a template for classifying other diseases?
Great
I am stuck at 55:30 where i am not able to import the local package into main.py....I have run "pip install -e ." already. Can anybody suggest what could be the reason?
please help me in my code showing cannot refs to remote main branch the folders and files are not uploaded to repository in my account on github and m using git bash windows powersheel not anaconda so which command to b typed
hello , i find my self with an error at 50: 28, i am not able to install the requirements.txt, can you please give some related infromations
i am not able to download data from your repo..kindly provide google drive link or make it public
remote: Permission to entbappy/Chicken-Disease-Classification--Project.git denied to me... kindly help ,me
AttributeError: partially initialized module 'charset_normalizer' has no attribute 'md__mypyc' (most likely due to a circular import) any one tell me why this error?
Hi everyone,
has anyone got this error ''ERROR: failed to reproduce 'training': output 'artifacts\training\model.h5' does not exist'' at 2:47 when running command dvc repro in my case 1st two stages are running but at training stage I am getting above error.
Any response will be highly appreciated.
Thanks
As thumnail says data science and video title says " deep learing "
you did not compile the model how you able to train the model it throughs error in my code
29:02 I am unable to load python and then from pathlib import path. What should I do.
I can't find the data. How am i supposed to follow along without data?
Did you find the data?
@@yashpisat9267 Not yet..
hello i am getting an error in data ingestion part because of parms.yaml being an empty file
Here is the error
ValueError Traceback (most recent call last)
Cell In[12], line 8
6 data_ingestion.extract_zip_file()
7 except Exception as e:
----> 8 raise e
Cell In[12], line 2
1 try:
----> 2 config = ConfigurationManager()
...
---> 37 raise ValueError("yaml file is empty")
38 except Exception as e:
39 raise e
ValueError: yaml file is empty
why there is no link to dataset provided?
At 2:18:48 attributeError: windowspath object has no attribute endswith
Any solution? Please please please reply
AttributeError: 'WindowsPath' object has no attribute 'endswith'.........i am having the same error......did you find any solution?
@@faryaltahseen7197 nope 😭
@@DSlayer007 have you completed this project?
@@faryaltahseen7197 no I have stuck at that problem. If you find the solution please let me know
i skipped this error....and continue the project with next step.......
cant we use yaml file instead of json files
2:06:53 AttributeError: 'WindowsPath' object has no attribute 'endswith'
I too faced this issue,got rectified. You shall try this ,
In def _create_ckpt_callbacks(self):
return tf.keras.callbacks.ModelCheckpoint(
'artifacts/prepare_callbacks/checkpoint_dir/model.h5' ,
save_best_only = True
)
Were you able to fix it?
I am getting the same error.
Hey, I was able to fix it by removing the Path() from the config manager function for the callback element.
@sheikhtahamaroof8484
1 second ago
paste this in your callbacks component-
class PrepareCallback:
def __init__(self, config: PrepareCallbacksConfig):
self.config = config
@property
def _create_tb_callbacks(self):
timestamp = time.strftime("%Y-%m-%d-%H-%M-%S")
tb_running_log_dir = os.path.join(
self.config.tensorboard_root_log_dir,
f"tb_logs_at_{timestamp}",
)
return tf.keras.callbacks.TensorBoard(log_dir=tb_running_log_dir)
@property
def _create_ckpt_callbacks(self):
return tf.keras.callbacks.ModelCheckpoint(
filepath=str(self.config.checkpoint_model_filepath),
save_best_only=True,
)
def get_tb_ckpt_callbacks(self):
return [
self._create_tb_callbacks,
self._create_ckpt_callbacks
]
there's only one change in the _create_ckpt_callbacks fxn that is the filepath should be of string type i.e. filepath=str(self.config.checkpoint_model_filepath),
@@pranavmoses9923 can you explain better? Please help me
GitHub repo dataset is not visible
It returns This site can't be reached
Solve this sir😢
After following these steps it did not work to me, furthermore I had to try to install the nvidia drivers (I could not achieve it) because torch was still working on CPU.
Is the deployment on AWS or Azure free, someone kindly answer.
AttributeError: 'function' object has no attribute 'set_model'
why I am getting this error?
were u able to resolve that error?
@krishnaik I have a issue while building the project. It might be caused due to updates in the libraries or something.
ValueError: Unknown variable: . This optimizer can only be called for the variables it was originally built with. When working with a new set of variables, you should recreate a new optimizer instance.
The above error is occurred while working with research/04_training.ipynb. i have tried many ways but nothing working out. Could you please help me if possible. Or anyone who got this while working?
I am also encountering the same issue. Can somebody help please
it is because the latest custom model as saved as model.keras, you could delete the entire artifacts folder , in config.yaml rename all model.h5 to model.keras and rerun the pipeline. it should solve the issue.
Is there any place where this project can be deployed free of cost
need help sir for this error saying that ValueError: yaml file is empty.where i am doing mistake guide me
In the params.yaml type key:value
i am getting this AttributeError: 'WindowsPath' object has no attribute 'endswith'
when i ruunig 03_preapre_callbacks.ipyb file. how to resolve this.
paste this in your callbacks component-
class PrepareCallback:
def __init__(self, config: PrepareCallbacksConfig):
self.config = config
@property
def _create_tb_callbacks(self):
timestamp = time.strftime("%Y-%m-%d-%H-%M-%S")
tb_running_log_dir = os.path.join(
self.config.tensorboard_root_log_dir,
f"tb_logs_at_{timestamp}",
)
return tf.keras.callbacks.TensorBoard(log_dir=tb_running_log_dir)
@property
def _create_ckpt_callbacks(self):
return tf.keras.callbacks.ModelCheckpoint(
filepath=str(self.config.checkpoint_model_filepath),
save_best_only=True,
)
def get_tb_ckpt_callbacks(self):
return [
self._create_tb_callbacks,
self._create_ckpt_callbacks
]
there's only one change in the _create_ckpt_callbacks fxn that is the filepath should be of string type i.e. filepath=str(self.config.checkpoint_model_filepath),
were u able to solve that
@@rashadptp5182 No
Are there anyone who gets this error while training
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd6 in position 13: invalid continuation byte
I cant loaded the updated model, i got this error
Can someone help me how to get these two data folders downloaded into system. I couldnot find them in Github. If its there can someone share the path
Where can i find the dataset . do you have link to access the dataset
?
Hii, dvc repro is giving me an error that "No such file or directory " in stage 01 itself. any leads on it please ?
solved ! If anyone faces the issues, please search for longpath key code removal in your system.
@waism.shaikh How did you solve this issue?
Just pasting the code 😢
Nothing to explain 😑
But the project is well organised
If u explain each step rather than pasting the code I think it would be great
The prediction process is not working properly. both AWS and Azure.
I have reached out to all team members, but I haven't received any responses.
The deployment process has been completed successfully, and the application is running perfectly. However, the problem lies in the prediction functionality.
Please help me how to solve it...
Hey man, if you get any update do inform
did you try increasing the epochs?
can such a set up scale as well?
AttributeError: 'WindowsPath' object has no attribute 'endswith' why this error is coming in 03_prepare_callback.ipynb file
Hi, I am getting the same error. Did you solve the issue?
@@riachoudhari7297 Use str() around it.
Where is the given dataset?
AttributeError: 'function' object has no attribute 'info'
plz help
@property
def _create_ckpt_callbacks(self):
return tf.keras.callbacks.ModelCheckpoint(
filepath=str(self.config.checkpoint_model_filepath),
save_best_only=True
)
making windows path into string format that is the major changes
@@ShahbazKhan-ph3vd sir do you know, why does this error come?
OSError: No file or directory found at artifacts\prepare_base_model\base_model_updated.h5
Hi all, I work for a bank. How can I convert it as to suit any banking project. Any ideas....
From now on in all upcoming videos babby only be the mentor?
I and bappy will be there
This projects will put on resume getting job for ds fresher ???
at 1:29:05 I'm getting error FileNotFoundError: [Errno 2] No such file or directory: 'config/config.yaml'
Can someone help in this.
make sure to be in right projects folder directory where the config.yaml file is located
can someone tell how to download the dataset . iam not able to find it
please am having this error, 841 msg = (
842 "Argument {arg} of type {valt} to {f} "
...
---> 31 with open(path_to_yaml) as yaml_file:
32 content = yaml.safe_load(yaml_file)
33 logger.info(f"yaml file: {path_to_yaml} loaded successfully")
FileNotFoundError: [Errno 2] No such file or directory: 'config\\config.yaml'
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...
How to solve this error
Which python version
Krish i get used to ur explanation kindly will u resume from next week
There is nothing wrong with this tutor too.
AttributeError: 'PosixPath' object has no attribute 'endswith'
I can't solve it error
please solve the erroe
but in posixpath convert into str function
I am getting this error "AttributeError: 'PosixPath' object has no attribute 'endswith'" while create Callbacks, can you please help?
I'm getting the same error for 03_prepare_callbacks.ipynb file. did you find a solution for this problem?
Me too I'm facing the same problem. Anyone got a solution for it? I tried with python 3.8 and 3.10 but they're still giving me that error
Did you find a solution?
Did you find a solution? @@tarun.k5548
Did you find a solution?@@miguelhermar
Hi Krish and Bappy, I tried predicting this, but for healthy images also it is predicting Coccidiosis only. I tried increasing the number of epochs also. But nothing works. How to predict healthy images it correctly?
first i was facing same error, but I increased my epochs size to 3, now it is predicting healthy images also
what is the data collection method