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I am getting predicted_categories output as <tf.Tensor: shape=(17572,), dtype=int64, numpy=array([0, 0, 0, ..., 0, 0, 0], dtype=int64)>

why date column not taking into analysis

ValueError Traceback (most recent call last) Cell In[54], line 1 ----> 1 training_history = model.fit(x=training_set,validation_data=validation_set,epochs=10) File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\utils\traceback_utils.py:122, in filter_traceback.<locals>.error_handler(*args, **kwargs) 119 filtered_tb = _process_traceback_frames(e.__traceback__) 120 # To get the full stack trace, call: 121 # `keras.config.disable_traceback_filtering()` --> 122 raise e.with_traceback(filtered_tb) from None 123 finally: 124 del filtered_tb File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\backend\tensorflow n.py:554, in categorical_crossentropy(target, output, from_logits, axis) 548 raise ValueError( 549 "Arguments `target` and `output` must be at least rank 1. " 550 "Received: " 551 f"target.shape={target.shape}, output.shape={output.shape}" 552 ) 553 if len(target.shape) != len(output.shape): --> 554 raise ValueError( 555 "Arguments `target` and `output` must have the same rank " 556 "(ndim). Received: " 557 f"target.shape={target.shape}, output.shape={output.shape}" 558 ) 559 for e1, e2 in zip(target.shape, output.shape): 560 if e1 is not None and e2 is not None and e1 != e2: ValueError: Arguments `target` and `output` must have the same rank (ndim). Received: target.shape=(None,), output.shape=(None, 38) i am getting this error

Sir, is this applicable for fruit diseases like citrus?

Sir i have done step by step way but the accuracy is coming ONLY 2%

I got the value error That the exception encountered when calling conv2D.call() Input=tf.tensor(shape(none,2,2,512),dtype=float32) What i will do??

I love you bro! Thanks for this masterpiece, your other videos are wonderful too. Much love broski

Hello sir, Thank you for this playlist. I have created my model as well as my project. But there is one issue I'm facing with my model, that is, if I use test images from the dataset to check the model's prediction, it is showing correct results, but as soon as I use images from the internet to check model, it wrongly predicts them. Is this an issue of overfitting? or what? How can I resolve this issue?

please uplode next

Hello I am working in this project. Can I integrate autobill in it?

Hello Bro, I can use this project as my Final Year Mtech project? Please guide me. Or which one's should i choose.

ValueError: Arguments `target` and `output` must have the same rank (ndim). Received: target.shape=(None, 38), output.shape=(None, 3, 3, 38) What should I do sir??

At 4:00 after runnign this command , i got a value error saying " ValueError: Arguments `target` and `output` must have the same shape. Received: target.shape=(None, 36), output.shape=(None, 7056) ". Please Help

cnn = tf.keras.models.load_model(r"C:\Users\sutap\Downloads\trained_model (1).keras") their is an error please reply me error is valueerror ValueError Traceback (most recent call last) File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\ops\operation.py:234, in Operation.from_config(cls, config) 233 try: --> 234 return cls(**config) 235 except Exception as e: File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\layers\convolutional\conv2d.py:109, in Conv2D.__init__(self, filters, kernel_size, strides, padding, data_format, dilation_rate, groups, activation, use_bias, kernel_initializer, bias_initializer, kernel_regularizer, bias_regularizer, activity_regularizer, kernel_constraint, bias_constraint, **kwargs) 89 def __init__( 90 self, 91 filters, (...) 107 **kwargs

thank you for this playlist and where can i found the dataset of plants used for agriculture(like groundnut,turmeric,paddy,..etc)

Does this app work in the end

Hi please why was open cv not used for image preprocessing or has this been done before, also can VS code be used to build this system

need code for webapp and vedio for this project

sir where is the webapp code and vedio for this project

Hi pls tell which algorithm is used in this project

My notification code is running successfully in python. I have created an exe file by importing the required packages. When i open that file after doing all settings the file is automatically closed before the notification comes.how to fix it sir please guide me.Thank You!

sir i understood that you used CNN architecture, but is there any specific CNN type you are using

sir i am unable to load the model in vs code which has the same environment as test.ipynb file

Hello, thank you very much for this. But I'm having issue with my keras file, it keeps saying this when i hit the predict button "ValueError: File not found: filepath=trained_plant_disease_model.keras. Please ensure the file is an accessible `.keras` zip file."

the markdown -- ## Importing Libraries.....is not working

Hello sir... I found a error on feature scaling I write exact same code I don't know why this is showing error

sir can i add calorie details of the predicted fruit/vegitable by web scraping.

sir what is the architecture used?

Which Architecture is used while building the model????

what are the frameworks you have used for this project

hii sir, i am getting an error in cnn = tf.keras.models.load_model('trained_model.keras') in testing_plant_disease please give me a solution

PLEASE HELP ME ! what is the version of tensorflow? i have error like below ERROR: Cannot install protobuf==4.25.3 and streamlit==1.16.0 because these package versions have conflicting dependencies. ImportError: cannot import name 'builder' from 'google.protobuf.internal' (D:\test\BDPapayaLeaf\strlenv\lib\site-packages\google\protobuf\internal\__init__.py)

Sharing you all required libraries with there version tensorflow==2.15.0 scikit-learn==1.3.0 numpy==1.24.3 matplotlib==3.7.2 seaborn==0.13.0 pandas==2.1.0 streamlit==1.31.1

Sharing you all required libraries with there version tensorflow==2.15.0 scikit-learn==1.3.0 numpy==1.24.3 matplotlib==3.7.2 seaborn==0.13.0 pandas==2.1.0 streamlit==1.31.1 librosa==0.10.1

Is this project completed in the series i want to make it for for college major project

can you mention the requirements.txt I mean all the versions used in this project

Do we need same image both for test and validation dataset ? Here both validation and test dataset have same images .

Hey in Test_music_genre after running the cell #Loading Model model = tf.keras.models.load_model("Trained_model.keras") I'm getting an error that says: AttributeError: 'Adam' object has no attribute 'build'. How to rectify it?

Is it complete project playlist

Have you uploaded the streamlit web application? if not, when will you be uploading?

Your Playlist and demonstration is awesome ❤. Please keep it up. If possible please upload a video that how we can deploy this model in our mobile phone through android app. 🙏🙏

bro after compiling my accuracy is only 0.028 (very low) i'm confused pliz 🙏help!!!!!!!

sir i am getting "--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[59], line 1 ----> 1 class_name = valid_set.class_names 2 print(class_name) AttributeError: '_MapDataset' object has no attribute 'class_names'"

Hi your video's are very useful and good to learn things from scratch. We are more interested to learn AI projects from your channels please keep uploading more resources. Thanks again for your wonderful presentation and contents.

can i used google colab?

Hello. What model did you use? Like is it CNN or?

If i click the predict button it is give me a recursion error what should i do

Thank you so much sir for this amazing tutorial But in my case I've got 100 % accuracy My data is totally right and there is no any NAN or missing data So is it worthwhile or there is a mistake somewhere?

hi is it cool if i use this for my final year project? and is it possible to get animal disease detection videos too?

have you use machine learning in this project?