TensorFlow Keras Model with Mixed Inputs Tutorial

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[gravidon]

Thank you very much ! As a college student who just started getting a grasp of the code behind these models this project was very insightful.

[NoorAmer-kh]

I rally love your channel and your explanation, it's like to find the answer whenever I find a video for you
I have a question
input = whatever
x = whatever (input)
y = whatever (x)
is this correct for the parentheses goal ? it represent the previous layer

[dazai]

this is very helpful and insightful, thank you very much (you've earned a new sub btw)

[Saad_Wazir]

great work and explanation much needed one

[brunooliveiram]

Can we talk about a little doubt? Im tryng do to similar process but having some problems

[ATHARVA]

great insight! multimodal usecase solved

[alhdlakhfdqw]

hey man thank you very much! great tutorial :) subbed!

[RodrigoMallmann]

Great Video! I am trying to learn ML in order to create a similar model. I was wondering if you what kind of role did the picture play? My model should consider the colors present in the picture and I didnt exactly got what was the role of the picture in this case

[GagandeepMalhotra-it]

Hi Greg great tutorial! Could you possibly guide me on understanding how i could use a model created like this, to have just an image as an input to output a predicted 'HP'. Thanks.

Edit: I misunderstood and realised that this model cannot take an input of just an image to output the predicted 'HP', however what is the process in order for it to do so, just removing the feed-forward stream would suffice?

[leamon]

Hi, thanks for this tutorial. Is mixed input also applicable to classification problem?

[AarishMaqsood]

Nice Explanation; I found an error like this "Layer "model_2" expects 2 input(s), but it received 1 input tensors. Inputs received: [<tf.Tensor 'IteratorGetNext:0' shape=(None, 30, 1) dtype=float32>]" while fitting the model. Can you figure out the problem here?

[ronakpatel]

Hi, Nice work. Appreciate your time. I have one problem when I scale it. I have images, each size is 224, 224, 3, and after loading that when I use np.array the colab is crashed due to lack of memory. So, how to deal with such a situation?

[rinogrego]

Thank you for this. I've been stuck for a while and this one somehow works. I have a question though (maybe the answer is already in the video and I've missed it), does storing the image in npz format and basic jpg/png format have any difference when used in training the model like longer/shorter training time, lesser RAM usage, or something?

[NingJiang-tv]

Helllo Greg, when I try the colab link, it cannot find the kaggle.json file. Any idea on how to resolve it? Thanks!

[raenielsaavedra]

can anyone tell me how to get the files he uses in the video?

[nahuelchavezaraujo]

Hi Greg ! do you think is possible to use something like vectorization instead of iterrows() for the creation of the npz ?

[chandasimfukwe]

Hi Greg, interesting video but how can I use flow_from_directory in Keras with muti inputs model like the one you showed. Thanks.