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I also set up and created this blog with Hugo to document my progress and setup Woodpecker CI to do continuous testing and integration.
deeplizard. “ Convolutional Neural Networks (CNNs) explained.” (Dec. 9, 2017). Accessed: Feb. 22, 2022. [Online Video]. Available: https://youtube.">
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< meta property = "og:description" content = "This week I did some research into how to build a CNN from scratch , including the different type of layers , loss functions , learning rates , epochs and other core concepts . 12
I also set up and created this blog with Hugo to document my progress and setup Woodpecker CI to do continuous testing and integration.
deeplizard. “ Convolutional Neural Networks (CNNs) explained.” (Dec. 9, 2017). Accessed: Feb. 22, 2022. [Online Video]. Available: https://youtube." />
2022-02-23 23:37:24 +00:00
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2022-02-23 23:37:24 +00:00
< title > Week 4 | MMP | Oscar Pocock< / title >
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< strong > Week 4< / strong >
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< h5 > February 27, 2022< / h5 >
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< p > This week I did some research into how to build a CNN from scratch, including the different type of layers, loss functions, learning rates, epochs and other core concepts.< sup id = "fnref:1" > < a href = "#fn:1" class = "footnote-ref" role = "doc-noteref" > 1< / a > < / sup > < sup id = "fnref:2" > < a href = "#fn:2" class = "footnote-ref" role = "doc-noteref" > 2< / a > < / sup > < / p >
< p > I also set up and created this blog with
< a href = "https://gohugo.io/" > Hugo< / a > to document my progress and setup
< a href = "https://woodpecker-ci.org/" > Woodpecker CI< / a > to do continuous testing and integration.< / p >
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< p > deeplizard. “ Convolutional Neural Networks (CNNs) explained.” (Dec. 9, 2017). Accessed: Feb. 22, 2022. [Online Video]. Available:
< a href = "https://youtube.com/watch?v=YRhxdVk_sIs" > https://youtube.com/watch?v=YRhxdVk_sIs< / a >   < a href = "#fnref:1" class = "footnote-backref" role = "doc-backlink" > ↩ ︎ < / a > < / p >
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< p > A Rosebrock. “ PyTorch: Training your first Convolutional Neural Network (CNN)” . pyimagesearch.com.
< a href = "https://pyimagesearch.com/2021/07/19/pytorch-training-your-first-convolutional-neural-network-cnn/" > https://pyimagesearch.com/2021/07/19/pytorch-training-your-first-convolutional-neural-network-cnn/< / a > (accessed Feb. 22, 2022.)  < a href = "#fnref:2" class = "footnote-backref" role = "doc-backlink" > ↩ ︎ < / a > < / p >
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