Welcome to my notebook! Iโm Daniel, a spanish ๐ช๐ธ aerospace engineer living in France ๐ซ๐ท with a passion for learning. This blog documents my journey exploring machine learning and other topics that interest me. I believe that writing about what you learn can be not only useful for yourself but also for others following a similar path. Moreover, learning in public can spark discussions and positive exchanges.
Let's dive into the paper 'ImageNet Classification with Deep Convolutional Neural Networks' by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, which introduced the AlexNet to the world, and became a pivotal moment in the fields of computer vision and deep learning. The goal here is to explore in-depth the achievements, architecture, and details as a previous step toward its implementation.
Interactive calculator to compute the output shape of a convolutional layer based on the input, kernel and other settings. It supports non-square kernels, stride and padding.
This post will show up on its own! In this post, I take a step back and reflect on the learning journey with Astro so far. I share some insights on the future direction I plan to take with this blog, potential improvements Iโm excited about, and some new ideas Iโll be exploring next. Stay tuned for more content on advanced Astro topics coming soon.
Thank you for visiting my site! Donโt hesitate to reach out to discuss more, share your ideas or just introduce yourself. Feel free to reach me either via the contact form below or connecting with me using the links at the bottom of the page.