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Chapter 5 Deep Neural Network Architecture

di Mohammed Shalgham 301,881 KB • 11 file

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001. Convolution Revisited.mp4
001. Convolution Revisited.mp4
002. Implementing Convolution in Python Revisited.mp4
002. Implementing Convolution in Python Revisited.mp4
003. Why Convolution.mp4
003. Why Convolution.mp4
004. Filters Padding Strides.mp4
004. Filters Padding Strides.mp4
005. Padding Image.mp4
005. Padding Image.mp4
006. Pooling Tensors.mp4
006. Pooling Tensors.mp4
007. CNN Example.mp4
007. CNN Example.mp4
008. Convolution and Pooling Details.mp4
008. Convolution and Pooling Details.mp4
009. MaxPooling Exercise.mp4
009. MaxPooling Exercise.mp4
010. NonVectorized Implementations of Conv2d and Pool2d.mp4
010. NonVectorized Implementations of Conv2d and Pool2d.mp4
011. Deep Neural Network Architecture Activity.mp4
011. Deep Neural Network Architecture Activity.mp4

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