Комментарии:
Come to Brazil !
ОтветитьMany thanks for all the videos! I totally love them.
I have a question? If I want to detect and object within a pic how would I need to prepare the dataset? I already have the labels of the objects and a bunch of photos, the train valid and test datasets
Great course, I've been following this for the last week. Well organised and presented..
Ответитьthe source code is not available for free to download
ОтветитьJust started my journey ❤🎉
ОтветитьI have a Quesiton Can anyone help???? When I trained the model using VGG16 model I got the accuracy of 1% don't where did I go wrong. I checked everything again but not working.
ОтветитьDuring the NeuralNet where you run lizzard, strawberries, etc... what dataset was used? I couldn't find it neither in the provided links nor on the blog.
Ответитьgreat work mam🥰, your explanation was so good. Don't mine but you look cute as Gal gadot🙄😘!
ОтветитьIs this tutorial teach us keras completely?
Ответитьcould not find the code at the url provided.
is this code posted on Github?
someone plz share the course materials
Ответитьtbh the explanation was terrible...
ОтветитьIf Abella Danger was Smart.
ОтветитьFantastic presentation! Thanks for sharing!!
Ответить大
ОтветитьThank you Mandy, It was a great video with such a fantastic explanation!!!
ОтветитьThis was the answer to my prayer. I know linear algebra and Python. I just needed some specific code examples with comments. Thank you!!!
ОтветитьIn my opinion, there are too many plugs back to the creator's content affecting the video quality. Additionally, some of the content is not explained adequately, for instance, saving to YAML. I believe it would be more helpful if Free Code Camp created a dedicated Keras tutorial instead of merging all the content together!
ОтветитьWhy are you talking in a bedroom?
ОтветитьKeras with Gal Gadot
ОтветитьThis tutorial amazingly helps me. Thanks!
Ответитьi cant thank you enough for this video. God bless you.
Ответитьwill it show bounding boxes of cat or dog using this mobile net
ОтветитьThanks god teacher is normal, not 10 years old indian guy again
ОтветитьYour captions are covering some of the lower part of your video, so I'm having problems seeing that part of the screen.
ОтветитьWill this tutorial vedio help me to get a job as a AI developer?
ОтветитьWhen you are good you are good, and deeplizard is VERY GOOD. I recommend this course and the Deep learning classic as an excellent way to get familiar with deep learinng ANN and keras implementation.
Also the text versions on the blog are very good.
Great job!
Sorry to bother, I have a question here. In the In[25] part, how do you know that the firt cloum number means no side effect but the second one does?
ОтветитьHello, can you please tell me where can I find the information about how to process when a labelled image isn't given to us, while training the neural network. I am not able to find it out??
Hope to hear from you soon
Thank you
could anyone eexplain why i get bad accuracy with using the same code??
ОтветитьIn the chapter "Image Preparation for CNNs with TensorFlow's Keras API", when and how were the labels for the images defined in the code?
My guess is that it was during the calls to ImageDataGenerator().flow_from_directory() via the machine matching the passed classes to the names of either the folders or the image files, but even if I'm right, I think that should have been addressed, even briefly, especially since if we want to follow these steps for our own data, we'll need to know how to tell the machine which images are in which class.
Brilliant illustarations and best DL material I have seen. Thank you, Andy.
Ответитьcan we have acces to the code without paying the lesson on the website?
ОтветитьHELP
ОтветитьThe simulation generated an intelligent and beautiful women to help us all train our own deep learning concepts to become symbiotic; this is rad! We're rapidly reaching the singularity, art!
ОтветитьThank you for this very good tutorial. You are a great teacher and very pleasant to listen to. I learned a ton.
ОтветитьGreat work Mandy. I really enjoyed your video. I noticed though that " classes = cm_ plot_labels" wasn't defined in the video. Hence, my plot of the confusion matrix was somewhat different. I will be glad if you define the class. Thank you.
ОтветитьI can't understand your teaching is bcoz of your cute Smile..
ОтветитьYou are so incredibly easy to listen to for hours on end, very well done I look forward to learning a bunch more from these videos
ОтветитьThis is the first long tutorial I watched from start to finish and it says a lot! Thank you very much!!!
ОтветитьI always wanted to be trained by a lizard 🦎
ОтветитьAbella Danger teaching us about ML is amazing
Ответитьzzzz..... watch at 2x speed, thank me later
ОтветитьYour very talented..thanks for your well explained instructions..
Ответитьwhat is "i in range" for?
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