4shared - Chapter 6 Gradient Descent in CNNs ng Mohammed Shalgham

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09:15

001. Example Setup.mp4

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Mohammed Shalgham sa Chapter 6 Gradient Descent in CNNs

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002. Why Derivatives.mp4

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Mohammed Shalgham sa Chapter 6 Gradient Descent in CNNs

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003. Why Derivatives Quiz.mp4

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Mohammed Shalgham sa Chapter 6 Gradient Descent in CNNs

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004. Why Derivatives Solution.mp4

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005. What Is Chain Rule.mp4

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006. Applying Chain Rule.mp4

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08:20

007. Gradients of MaxPooling Layer.mp4

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Mohammed Shalgham sa Chapter 6 Gradient Descent in CNNs

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008. Gradients of MaxPooling Layer Quiz.mp4

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009. Gradients of MaxPooling Layer Solution.mp4

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Mohammed Shalgham sa Chapter 6 Gradient Descent in CNNs

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09:01

010. Gradients of Convolutional Layer.mp4

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011. Extending to Multiple Filters.mp4

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Mohammed Shalgham sa Chapter 6 Gradient Descent in CNNs

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06:50

012. Extending to Multiple Layers.mp4

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01:24

013. Extending to Multiple Layers Quiz.mp4

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014. Extending to Multiple Layers Solution.mp4

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015. Implementation in NumPy ForwardPass.mp4

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016. Implementation in NumPy BackwardPass 1.mp4

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04:37

017. Implementation in NumPy BackwardPass 2.mp4

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018. Implementation in NumPy BackwardPass 3.mp4

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019. Implementation in NumPy BackwardPass 4.mp4

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020. Implementation in NumPy BackwardPass 5.mp4

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Mohammed Shalgham sa Chapter 6 Gradient Descent in CNNs

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021. Gradient Descent in CNNs Activity.mp4

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Mohammed Shalgham sa Chapter 6 Gradient Descent in CNNs

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