Let's Descend: Why Calculus is Important in Deep Learning

OVERFIT: AI, Machine Learning, and Deep Learning Made Simple

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เนื้อหาจัดทำโดย Brian Carter เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Brian Carter หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/insights-unlocked">Insights Unlocked</a></span>

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Insights Unlocked

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What does it take to create experiences customers love, craft campaigns that captivate, and drive measurable results? Insights Unlocked features candid conversations with the builders, creators, and innovators driving some of the world’s most impactful digital transformations. Tailored for marketing, product, UX and CX leaders, each episode delivers actionable insights to help you create customer-first strategies and stay ahead in today’s competitive landscape. Each episode is about 30 minutes long. From optimizing product launches to leveraging AI for smarter workflows, Insights Unlocked is your go-to resource for designing experiences that resonate, drive loyalty, and achieve business results. Guests include influential leaders like Brian Solis, April Dunford, Kate Towsey, Jacob Nielsen, Teresa Torres, and Judd Antin among others, offering their expertise in CX, UX, and innovation. The podcast also highlights strategies and success stories from leading brands such as Verizon, Signet Jewelers, Figma, Microsoft, Tesco Bank, and more. UserTesting leaders and industry experts join as guest hosts, alongside show producer Nathan Isaacs, award-winning journalist and Senior Manager of Content Production at UserTesting. Brought to you by UserTesting, the leader in human insights and proactive customer experience strategies, Insights Unlocked empowers CMOs and marketing teams to craft experiences that drive growth, loyalty, and impact. Listen and subscribe wherever you get your podcasts. Show notes, curated clips and more at usertesting.com/podcast.

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An introduction to the fundamental concepts of calculus, explaining how they are essential for understanding deep learning. It begins by illustrating the concept of a limit using the calculation of a circle's area, before introducing the concept of a derivative, which describes a function's rate of change. It then extends these concepts to multivariate functions, discussing partial derivatives and gradients, which are crucial for optimizing models in deep learning. The chain rule, a powerful tool for calculating gradients in complex function compositions, is also explained in detail. The text concludes by highlighting the significance of automatic gradient computation, emphasizing its role in optimizing deep learning models and paving the way for the backpropagation algorithm, which will be elaborated on in later chapters.

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