The latest articles on DEV Community by brok (@brokttv). https://dev.to/brokttv https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3424559%2Fc4ac6dde-c17a-4182-a0db-7a79a24fafdc.jpeg https://dev.to/brokttv en brok Sun, 10 Aug 2025 23:50:54 +0000 https://dev.to/brokttv/implemented-all-popular-optimizers-from-scratch-in-numpy-56ee https://dev.to/brokttv/implemented-all-popular-optimizers-from-scratch-in-numpy-56ee <p>Implemented deep learning optimizers using NumPy, including SGD, Adam, Adagrad, NAG, RMSProp, and Momentum.</p> <p>the reo includes:</p> <blockquote> <p>brief explanation<br> full code<br> further readings</p> </blockquote> <p>link: <a href="https://github.com/Brokttv/optimizers-from-scratch" rel="noopener noreferrer">https://github.com/Brokttv/optimizers-from-scratch</a></p> programming machinelearning deeplearning ai brok Sun, 10 Aug 2025 04:37:40 +0000 https://dev.to/brokttv/best-blogpost-about-intialization-and-noramlization-i-could-find-2e27 https://dev.to/brokttv/best-blogpost-about-intialization-and-noramlization-i-could-find-2e27 <p>I stumbled upon this criminally unrated blogpost that goes into detail about initialization techniques and then bridge them to barchnorm and layernorm.</p> <p>it has exercises with meticulous instructions, visualizations, mathematical deep dives, raw implementations from scratch, interactive plots, and even a Q&amp;A session.</p> <p>Link: <a href="https://medium.com/towards-artificial-intelligence/initialization-batchnorm-and-layernorm-beyond-textbook-definitions-9306b02c7e9a" rel="noopener noreferrer">https://medium.com/towards-artificial-intelligence/initialization-batchnorm-and-layernorm-beyond-textbook-definitions-9306b02c7e9a</a></p> ai machinelearning programming tutorial