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Chapter 6 Gradient Descent in CNNs

توسط Mohammed Shalgham 567,190 KB • 21 فایل

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001. Example Setup.mp4
002. Why Derivatives.mp4
003. Why Derivatives Quiz.mp4
004. Why Derivatives Solution.mp4
005. What Is Chain Rule.mp4
006. Applying Chain Rule.mp4
007. Gradients of MaxPooling Layer.mp4
008. Gradients of MaxPooling Layer Quiz.mp4
009. Gradients of MaxPooling Layer Solution.mp4
010. Gradients of Convolutional Layer.mp4
011. Extending to Multiple Filters.mp4
012. Extending to Multiple Layers.mp4
013. Extending to Multiple Layers Quiz.mp4
014. Extending to Multiple Layers Solution.mp4
015. Implementation in NumPy ForwardPass.mp4
016. Implementation in NumPy BackwardPass 1.mp4
017. Implementation in NumPy BackwardPass 2.mp4
018. Implementation in NumPy BackwardPass 3.mp4
019. Implementation in NumPy BackwardPass 4.mp4
020. Implementation in NumPy BackwardPass 5.mp4
021. Gradient Descent in CNNs Activity.mp4

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