Technical articles on embedded systems, AI, software architecture, business strategy, philosophy, and life sciences. https://www.wasilzafar.com en-us Sat, 09 May 2026 19:04:50 GMT Sat, 09 May 2026 19:04:50 GMT wasil.zafar@gmail.com (Wasil Zafar) wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/images/favicon_io/android-chrome-512x512.png https://www.wasilzafar.com https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-evolutionary-genomics.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-evolutionary-genomics.html Sat, 09 May 2026 19:04:50 GMT Genomics revolution in evolutionary biology — comparative genomics, gene duplication & genome evolution, horizontal gene transfer, transposable elements, epigenetics & inheritance, CRISPR in evolutionary research, metagenomics, phylogenomics, and future frontiers. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-paleontology-fossil-interpretation.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-paleontology-fossil-interpretation.html Sat, 09 May 2026 19:04:50 GMT Reading the fossil record — radiometric dating techniques, index fossils, transitional fossils (Tiktaalik, Archaeopteryx), taphonomy, trace fossils, fossilization processes, biostratigraphy, and integrating paleontological data with molecular evidence. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-mathematical-theoretical.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-mathematical-theoretical.html Sat, 09 May 2026 19:04:50 GMT Mathematical models in evolutionary biology — fitness landscapes, adaptive dynamics, evolutionary stable strategies (ESS), Lotka-Volterra models, coalescent theory, Price equation, diffusion models, evolutionary optimization, and computational simulations. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-behavioral-social-evolution.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-behavioral-social-evolution.html Sat, 09 May 2026 19:04:50 GMT Evolution of behavior and social structures — altruism, kin selection, reciprocal altruism, evolutionary game theory, sexual selection strategies, mate choice, social insect evolution, eusociality, and cultural transmission of behavior. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-evo-devo.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-evo-devo.html Sat, 09 May 2026 19:04:50 GMT Evo-Devo — how developmental processes drive evolutionary change. Hox genes, gene regulatory networks, modularity, morphological novelty, heterochrony, phenotypic plasticity, and constraints shaping body plan evolution. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-mass-extinctions-biodiversity.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-mass-extinctions-biodiversity.html Sat, 09 May 2026 19:04:50 GMT The Big Five mass extinction events, causes of extinction (climate change, asteroid impacts, volcanism), biodiversity patterns, speciation vs extinction rates, latitudinal diversity gradient, genetic diversity preservation, evolutionary rescue, and Anthropocene extinction risks. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-coevolution-symbiosis.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-coevolution-symbiosis.html Sat, 09 May 2026 19:04:50 GMT Species interactions and co-evolutionary dynamics — mutualism, commensalism, parasitism, predator-prey arms races, host-parasite evolution, pollinator-plant relationships, endosymbiosis, microbiome evolution, and the holobiont concept. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-human-evolution-migration.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-human-evolution-migration.html Sat, 09 May 2026 19:04:50 GMT The hominin lineage from early primates through Homo sapiens — Australopithecines, Homo erectus, fossil & genetic evidence, ancient DNA, Neanderthal introgression, Denisovans, population bottlenecks, language emergence, and gene-culture coevolution. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-phylogenetics-taxonomy.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-phylogenetics-taxonomy.html Sat, 09 May 2026 19:04:50 GMT Cladogram branch rotation, tree thinking, and phylogenetic relationships — why rotating branches around a node does not change relationships. Cladistics, monophyletic vs paraphyletic groups, molecular phylogenetics, Bayesian methods, and modern genomic classification. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-speciation-adaptive-radiation.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-speciation-adaptive-radiation.html Sat, 09 May 2026 19:04:50 GMT Species concepts, modes of speciation (allopatric, peripatric, parapatric, sympatric), adaptive speciation, ecological speciation, magic traits, sensory drive, reinforcement, reproductive isolation, adaptive radiation, ecological niches, island evolution, and macroevolutionary patterns. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-genetics-of-evolution.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-genetics-of-evolution.html Sat, 09 May 2026 19:04:50 GMT Molecular foundations of evolution — DNA structure, mutation types, gene expression, recombination, population genetics, Hardy-Weinberg equilibrium, genetic drift, gene flow, quantitative genetics, neutral theory, and molecular clocks. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-darwin-wallace-natural-selection.html https://www.wasilzafar.com/pages/series/evolutionary-biology/evolutionary-biology-darwin-wallace-natural-selection.html Sat, 09 May 2026 19:04:50 GMT Explore the foundations of evolutionary theory — Darwin and Wallace wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-28-armv9-future.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-28-armv9-future.html Sat, 09 May 2026 19:04:50 GMT ARMv9.0 (2021) was the first major architectural version since ARMv8 in 2011. It mandated SVE2 for server-class cores, introduced the Realm Management Extension for confidential computing, and continued a decade-long trend of adding new feature flags instead of breaking instruction semantics. This wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-clinical-diagnostics.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-clinical-diagnostics.html Sat, 09 May 2026 19:04:50 GMT Clinical biochemistry — blood glucose testing, HbA1c, liver function tests (ALT, AST, GGT, ALP, bilirubin), kidney function markers (creatinine, BUN, eGFR), lipid panels, cardiac biomarkers (troponin, BNP), and point-of-care testing. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-27-security-exploitation.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-27-security-exploitation.html Sat, 09 May 2026 19:04:50 GMT Security research on ARM64 blends intimate knowledge of the ISA with an understanding of OS memory layout, compiler mitigations, and hardware defences. This part covers the attack path from memory disclosure through ROP/JOP chain execution, examines kernel exploitation patterns specific to AArch64, wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-molecular-basis-disease.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-molecular-basis-disease.html Sat, 09 May 2026 19:04:50 GMT Molecular disease mechanisms — diabetes (type 1 & 2), cancer metabolism (Warburg effect), neurodegeneration (Alzheimer wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-25-cross-compilation.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-25-cross-compilation.html Sat, 09 May 2026 19:04:50 GMT Cross-compiling for ARM64 on an x86 host seems straightforward until ABI mismatches, missing sysroots, and LLVM triple confusion bite you. This part covers correct toolchain selection for both bare-metal and Linux targets, CMake toolchain files, LLVM/Clang cross setup, and automated firmware wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-26-arm-real-systems.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-26-arm-real-systems.html Sat, 09 May 2026 19:04:50 GMT Theory is validated in production. This part walks through five real deployment environments where ARM assembly knowledge is directly exercised: Android native code via the NDK, two embedded RTOSes (FreeRTOS and Zephyr), the U-Boot bootloader that brings up hundreds of millions of Linux boards, and wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-tissue-specific-metabolism.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-tissue-specific-metabolism.html Sat, 09 May 2026 19:04:50 GMT Integrative metabolism — fed vs fasting state, organ fuel selection (brain, muscle, liver, adipose), starvation adaptation, Cori & alanine cycles, metabolic hormonal control, and exercise physiology. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-24-linkers-loaders.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-24-linkers-loaders.html Sat, 09 May 2026 19:04:50 GMT Every ARM binary you run passed through a linker that stitched object files together, assigned addresses, and emitted relocations that the dynamic loader resolves at runtime. This part walks from raw ELF sections through RELA relocation entries, PLT/GOT lazy binding, position-independent code on wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-adipose-tissue-energy-balance.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-adipose-tissue-energy-balance.html Sat, 09 May 2026 19:04:50 GMT Adipose tissue biochemistry — triglyceride storage, lipolysis regulation, white vs brown adipose tissue, leptin & adiponectin signaling, adipose inflammation, body weight regulation, and obesity biochemistry. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-23-debugging-tooling.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-23-debugging-tooling.html Sat, 09 May 2026 19:04:50 GMT The ARM debugging ecosystem spans from QEMU software simulation up to hardware probes with instruction-level trace. This part covers the GDB remote serial protocol, OpenOCD configuration for JTAG and SWD adapters, ETM/ITM trace decoding, and practical kernel debugging workflows with QEMU. # ── wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-immune-system.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-immune-system.html Sat, 09 May 2026 19:04:50 GMT Immune system biochemistry — antibody structure & classes, antigen-antibody interactions, cytokine signaling, complement cascade, oxidative burst in phagocytes, MHC & antigen presentation, and immunodeficiency disorders. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-22-virtualization.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-22-virtualization.html Sat, 09 May 2026 19:04:50 GMT ARM's Virtualization Extensions give EL2 a hardware-enforced isolation boundary between the hypervisor and every guest OS. This part walks the full path from EL3 dropping into EL2, configuring trap controls, programming two-stage page tables, wiring the virtual GIC, and understanding how KVM uses wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-digestive-system.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-digestive-system.html Sat, 09 May 2026 19:04:50 GMT Digestive biochemistry — gastric acid secretion, pancreatic enzymes, bile salt emulsification, carbohydrate/protein/lipid digestion and absorption, gut microbiome metabolism, and short-chain fatty acids. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-21-microarchitecture.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-21-microarchitecture.html Sat, 09 May 2026 19:04:50 GMT Understanding what happens below the ISA boundary explains every counter-intuitive performance result from Part 18. This part maps the journey from instruction fetch and branch prediction down through register renaming, the reorder buffer, execution ports, store queues, and the cache/TLB hierarchy. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-endocrine-system.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-endocrine-system.html Sat, 09 May 2026 19:04:50 GMT Hormone biochemistry — peptide vs steroid vs amine hormones, receptor mechanisms, insulin & glucagon signaling, thyroid hormones, cortisol & stress response, reproductive hormones, and endocrine disorders. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-20-bare-metal-os-kernel.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-20-bare-metal-os-kernel.html Sat, 09 May 2026 19:04:50 GMT Building an OS kernel from scratch on ARM64 is the ultimate integration of everything in this series: boot sequence, exception vectors, memory management, and scheduling all collide in a few hundred lines of assembly and C. This part walks through each layer, from the first instruction after reset wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-kidney-acid-base-control.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-kidney-acid-base-control.html Sat, 09 May 2026 19:04:50 GMT Explore renal biochemistry — glomerular filtration, tubular reabsorption, ion transport, acid-base balance, bicarbonate reclamation, ammonia excretion, hormonal regulation (ADH, aldosterone, ANP), and kidney biomarkers (creatinine, BUN, eGFR). wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-19-reverse-engineering.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-19-reverse-engineering.html Sat, 09 May 2026 19:04:50 GMT Reverse engineering flips the assembly workflow: instead of writing instructions, you read them to understand what a binary does. ARM's ubiquity across Android, iOS, and embedded firmware makes it the most important architecture for binary analysis today. Mastering ELF layout, symbol conventions, wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-liver-metabolic-center.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-liver-metabolic-center.html Sat, 09 May 2026 19:04:50 GMT Explore liver biochemistry — glucose homeostasis, glycogen storage, gluconeogenesis, lipogenesis, beta-oxidation, urea cycle, bile acid synthesis, detoxification via cytochrome P450, and bilirubin metabolism. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/human-anatomy/human-anatomy-regional-dissection-mastery.html https://www.wasilzafar.com/pages/series/human-anatomy/human-anatomy-regional-dissection-mastery.html Sat, 09 May 2026 19:04:50 GMT Comprehensive regional dissection mastery guide — upper limb, lower limb, thorax, abdomen, pelvis and perineum, head and neck, and back anatomy with clinical correlations, surgical approaches, and integrative dissection techniques. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-18-performance-profiling.html https://www.wasilzafar.com/pages/series/arm-assembly/arm-assembly-18-performance-profiling.html Thu, 07 May 2026 00:00:00 GMT Writing fast assembly is half craft, half measurement. ARM's Performance Monitoring Unit gives you hardware-level insight into every stall, cache miss, and mispredicted branch. Combined with Linux perf and a principled micro-benchmarking methodology, you can systematically identify and eliminate wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-heart-muscle.html https://www.wasilzafar.com/pages/series/biochemistry/biochemistry-heart-muscle.html Sun, 03 May 2026 00:00:00 GMT Explore heart and muscle biochemistry — cardiac metabolism (fatty acid preference, ischemia), skeletal muscle energy systems (ATP-PCr, glycolytic, oxidative), actin-myosin cross-bridge cycle, calcium signaling in contraction, and exercise biochemistry. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/human-anatomy/human-anatomy-functional-applied.html https://www.wasilzafar.com/pages/series/human-anatomy/human-anatomy-functional-applied.html Sun, 03 May 2026 00:00:00 GMT Comprehensive guide to functional and applied anatomy — biomechanics of movement, joint stability and muscle mechanics, posture analysis, gait cycle, organ system integration, pain referral patterns, and clinical applications of anatomical knowledge. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part01-why-and-history.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part01-why-and-history.html Sun, 03 May 2026 00:00:00 GMT Neural networks are the engine behind the most transformative technology of the 21st century. They power voice assistants, translate languages in real-time, generate photorealistic images, write code, and diagnose diseases from medical scans. But why did we need them in the first place? Consider wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part02-building-blocks.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part02-building-blocks.html Sun, 03 May 2026 00:00:00 GMT The artificial neuron is the fundamental unit of every neural network. Inspired by biological neurons, it takes multiple inputs, multiplies each by a weight, sums the results, adds a bias, and passes the result through an activation function to produce an output. Think of it as a tiny wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part03-how-they-learn.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part03-how-they-learn.html Sun, 03 May 2026 00:00:00 GMT Imagine tuning a radio with dozens of knobs. Each knob position affects the clarity of the signal. Your goal: find the exact combination that minimizes static and maximizes clarity. Neural network training works the same way — except instead of a few knobs, you have millions of “weights” to adjust, wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part04-first-network-from-scratch.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part04-first-network-from-scratch.html Sun, 03 May 2026 00:00:00 GMT In Part 1 of this series, we proved that a single perceptron cannot solve the XOR (exclusive or) problem. A single neuron can only learn linearly separable patterns — and XOR is fundamentally not linearly separable. This limitation, famously highlighted by Minsky and Papert in 1969, nearly killed wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part05-architectures-overview.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part05-architectures-overview.html Sun, 03 May 2026 00:00:00 GMT Neural networks are not one-size-fits-all. Over the past four decades, researchers have designed specialized architectures to tackle fundamentally different types of data and problems. Each architecture introduces a specific inductive bias — a structural assumption about the data that allows the wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part06-cnns-deep-dive.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part06-cnns-deep-dive.html Sun, 03 May 2026 00:00:00 GMT Fully connected networks treat every pixel as an independent feature. For a modest 28×28 grayscale image, that means 784 input neurons — and if we connect them to just 128 hidden neurons, we already have over 100,000 parameters in the first layer alone. Scale that to a 224×224 RGB image and the wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part07-rnns-lstms-deep-dive.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part07-rnns-lstms-deep-dive.html Sun, 03 May 2026 00:00:00 GMT Feedforward neural networks (FNNs) process each input independently — they have no concept of order or context. When you feed an FNN a word, it has no idea what came before it. But language, time series, audio, and countless other real-world signals are inherently sequential: the meaning of “bank” wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part08-autoencoders-gans.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part08-autoencoders-gans.html Sun, 03 May 2026 00:00:00 GMT Unlike supervised learning where we have labels guiding our models, autoencoders learn entirely without labels. The goal is to discover a compressed representation — an encoding — that captures the essential features of the data. This is the foundation of generative modeling: if we can learn a good wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part09-transformers-best-practices.html https://www.wasilzafar.com/pages/series/neural-networks/neural-networks-part09-transformers-best-practices.html Sun, 03 May 2026 00:00:00 GMT In 2017, the landmark paper “Attention Is All You Need” by Vaswani et al. fundamentally changed deep learning. The key insight was radical: instead of processing sequences one step at a time (like RNNs and LSTMs), look at ALL positions simultaneously. This single architectural choice unlocked wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-gan.html https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-gan.html Sun, 03 May 2026 00:00:00 GMT Imagine a counterfeiter who tries to produce fake currency that looks identical to real bills, and a detective whose job is to catch the fakes. As the counterfeiter gets better at forging, the detective must sharpen their skills to tell real from fake. Over time, this adversarial competition pushes wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-gpt2.html https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-gpt2.html Sun, 03 May 2026 00:00:00 GMT A language model is, at its core, a probability distribution over sequences of tokens. Given a sequence of preceding words (or tokens), a language model predicts what comes next. This is the fundamental task behind GPT-2, ChatGPT, and all modern large language models — they learn to predict the wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-resnet.html https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-resnet.html Sun, 03 May 2026 00:00:00 GMT Before ResNet was introduced in 2015, a perplexing phenomenon haunted the deep learning community: deeper networks performed worse than shallower ones . This wasn't simply overfitting — even the training error was higher for deeper models. A 56-layer plain convolutional network consistently wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-unet.html https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-unet.html Sun, 03 May 2026 00:00:00 GMT Image segmentation is the task of assigning a class label to every single pixel in an image. Unlike classification (which outputs one label for the whole image) or object detection (which draws bounding boxes), segmentation produces a pixel-perfect map that outlines every object's exact boundary. wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-yolo.html https://www.wasilzafar.com/pages/series/pytorch-mastery/deep-dive-yolo.html Sun, 03 May 2026 00:00:00 GMT Before diving into YOLO, it's important to understand where object detection sits in the broader computer vision hierarchy. There are three progressively harder tasks that a neural network can perform on an image: Object detection is dramatically harder than classification because the network must wasil.zafar@gmail.com (Wasil Zafar) https://www.wasilzafar.com/pages/series/pytorch-mastery/pytorch-mastery-part01-tensors-autograd-gpu.html https://www.wasilzafar.com/pages/series/pytorch-mastery/pytorch-mastery-part01-tensors-autograd-gpu.html Sun, 03 May 2026 00:00:00 GMT PyTorch is an open-source deep learning framework developed by Meta AI (formerly Facebook AI Research). Since its release in 2016, it has become the dominant framework in research and is rapidly gaining ground in production environments. If you're learning deep learning today, PyTorch is the best wasil.zafar@gmail.com (Wasil Zafar)