Inception Explained: Understanding the Architecture and Module of Inception Networks

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In this video 📝 we will talk about the Inception Architecture. Inception Neural Networks are often used to solve computer vision problems and consist of several Inception Blocks. We will talk about what an Inception block is and compare it to the architecture of a standard convolutional neural network. We will take a look at the different versions of the inception block which contains optimizations for each version and some modifications to the Inception module.

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Tags:
#Inception #InceptionModule#NeuralNetworks #DeepLearning #NeuralNetworksPython #NeuralNetworksTutorial #DeepLearningTutorial #Keras #TensorFlow

[NicolaiAI]

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[daandegroot]

No need to put the video on 1.25 speed, since he is already talking at that speed

[vivelataebe]

Thank you very much for your videos!
Just one question - shouldn't it be feature map concat instead of filter concat at the end of the inception blocks?

[cassio-fm]

I thought it was about Christopher Nolan’s movie 😅

[nawfelboutabia]

you didn't talk about inception resnet models, and we are still waiting for the other part of this video