Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
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Date: 2022-03-14
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Comments and reviews: 8
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Sorry for being little critical here even though it's helpful tutorial some things were just left hanging...
To the people that actually try to repeat the tutorial (because I don't think there many) I have to say you have to use your logic to figure things out and not take everything for granted because it will not work she just messed up some parts...
For example: when she shuffles the data they have to be shuffled in union with the answers because your model will be accurate in training but 50% accurate on the unseen answers since it's like you lost the answers... Don't ask me if I messed that part by blindly following and wasting half an hour...
So you have to find your way to do this she leaves that part out and I don't know how she gets results...
Maybe keras at the time did it by default and currently not? Or I missed something idk...
Also some of the functions don't work if you follow on your computer's compiler... Reshape, Radom. I mean they work but you have to specify the module. I know some python masters will say you just don't know how to use python modules and I agree but this tutorial is not for the people knowing only less than two programming languages and starting out with keras.
Sorry, but it still helped to start somehow but it wasn't the best experience...
reply
Sorry for being little critical here even though it's helpful tutorial some things were just left hanging...
To the people that actually try to repeat the tutorial (because I don't think there many) I have to say you have to use your logic to figure things out and not take everything for granted because it will not work she just messed up some parts...
For example: when she shuffles the data they have to be shuffled in union with the answers because your model will be accurate in training but 50% accurate on the unseen answers since it's like you lost the answers... Don't ask me if I messed that part by blindly following and wasting half an hour...
So you have to find your way to do this she leaves that part out and I don't know how she gets results...
Maybe keras at the time did it by default and currently not? Or I missed something idk...
Also some of the functions don't work if you follow on your computer's compiler... Reshape, Radom. I mean they work but you have to specify the module. I know some python masters will say you just don't know how to use python modules and I agree but this tutorial is not for the people knowing only less than two programming languages and starting out with keras.
Sorry, but it still helped to start somehow but it wasn't the best experience...
reply
Sumo
The machine learning tutorial space is a literal landfill of garbage, thousands of slightly different versions of this and that.
Given the fact that these models can be created with 10 lines of code, you would think there would be a really simple start to finish showing data to results in 10 mins, but all there is is 3 hour mess videos like this.
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The machine learning tutorial space is a literal landfill of garbage, thousands of slightly different versions of this and that.
Given the fact that these models can be created with 10 lines of code, you would think there would be a really simple start to finish showing data to results in 10 mins, but all there is is 3 hour mess videos like this.
reply
Drow0Ranger
Hi Mandy, I tried training neural network for the clinical trials example -28:47. I am getting Nan for loss and 0.5 for accuracy. I ran the exact lines of code you did. What is the issue? BTW, I am not using the three lines of code to use the GPU.
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Hi Mandy, I tried training neural network for the clinical trials example -28:47. I am getting Nan for loss and 0.5 for accuracy. I ran the exact lines of code you did. What is the issue? BTW, I am not using the three lines of code to use the GPU.
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Candy
Can't get the fine tuning to work. The accuracy and validation accuracy are quite high for the vgg16 model but when I get it to predict and plug it into the confusion matrix plotting function, it shows something completely off.
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Can't get the fine tuning to work. The accuracy and validation accuracy are quite high for the vgg16 model but when I get it to predict and plug it into the confusion matrix plotting function, it shows something completely off.
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sammy
Do anyone encounter load_model problem with error -AttributeError: 'str' object has no attribute 'decode'-? According to stack overflow, I should downgrade my h5py to version 2.10 and I did so but same error occur.
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Do anyone encounter load_model problem with error -AttributeError: 'str' object has no attribute 'decode'-? According to stack overflow, I should downgrade my h5py to version 2.10 and I did so but same error occur.
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Priyanshu
- 1:25:00 I am getting error Error -when checking input: expected conv2d_3_input to have shape (224, 224, 3) but got array with shape (244, 244, 3)- How to resolve this?
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- 1:25:00 I am getting error Error -when checking input: expected conv2d_3_input to have shape (224, 224, 3) but got array with shape (244, 244, 3)- How to resolve this?
reply
Tony
Awesome video. One ques. When you show the architecture of the model is the last number in parenthesis the number of neurons in each layer,?
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Awesome video. One ques. When you show the architecture of the model is the last number in parenthesis the number of neurons in each layer,?
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raghav
I cant describe in words how much this video helped me with my research project! You are a great teacher, Thankyou so much!
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I cant describe in words how much this video helped me with my research project! You are a great teacher, Thankyou so much!
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