LR
Lucia Rossi
last week
I read the free preview on a whim and ended up finishing the whole thing in two sittings. Superb pacing.
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Vizuara AI Labs · intermediate
NLP & Computer Vision Mastery
Modern computer vision, coded from scratch.
A hands-on journey through computer vision, from a single convolution filter to deployed object detectors. Build and fine-tune CNNs, transfer-learn with AlexNet, VGG, and ResNet, master detection and segmentation with the R-CNN family, U-Net, and YOLO, and ship real apps with OpenCV, Streamlit, and Roboflow.
40 capsules154 figures~7 hoursby Dr. Raj Dandekar
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00Foundations of Vision5 capsules
Foundations of Vision — 5 chapters.
01What Is Computer Vision?conceptfree10 min02Images as Tensorsintuitionfree10 min03Filters and the Convolution Operationmath🔒10 min04Output Dimensions: Stride and Paddingmath🔒12 min05TensorFlow vs NumPy: Why Speed Matterscode🔒11 min01From Linear Models to Deep Networks6 capsules
From Linear Models to Deep Networks — 6 chapters.
06A Linear Model for 5-Class Classificationcode🔒10 min07Weights, Biases, and the Loss Surfaceconcept🔒12 min08Hidden Layers and the ReLU Activationintuition🔒11 min09Counting Parameters in a Networkmath🔒9 min10Softmax vs Sigmoid: Multi-class vs Multi-labelconcept🔒11 min11Tracking Experiments with Weights & Biasescode🔒9 min02Generalization and Transfer Learning6 capsules
Generalization and Transfer Learning — 6 chapters.
12Overfitting and the Bias-Variance Tradeoffconcept🔒9 min13L1 and L2 Regularizationmath🔒10 min14Dropout, Augmentation, and Early Stoppingcode🔒10 min15What Is Transfer Learning?concept🔒10 min16The AlexNet Architecturedeep-dive🔒11 min17Fine-tuning AlexNet in Codecode🔒12 min03Modern CNN Architectures5 capsules
Modern CNN Architectures — 5 chapters.
18VGG16: Deep and Simpledeep-dive🔒11 min19The Vanishing Gradient Problemintuition🔒9 min20ResNet and Skip Connectionsdeep-dive🔒10 min21Implementing VGG and ResNetcode🔒9 min22A History of CNNsconcept🔒12 min04OpenCV and Real-Time Vision4 capsules
OpenCV and Real-Time Vision — 4 chapters.
23Introduction to OpenCVcode🔒12 min24Motion Detection with OpenCVproject🔒11 min25Deploying a Vision App with Streamlitproject🔒12 min26Real-Time Detection and Tracking with YOLOv8code🔒12 min05Object Detection and Segmentation7 capsules
Object Detection and Segmentation — 7 chapters.
27The Object Detection Problemconcept🔒11 min28R-CNN: Region Proposals and Selective Searchdeep-dive🔒11 min29Fast and Faster R-CNNdeep-dive🔒12 min30Mask R-CNN and Instance Segmentationdeep-dive🔒10 min31Implementing the R-CNN Familycode🔒11 min32U-Net: Encoder-Decoder Segmentationdeep-dive🔒11 min33DICE, IoU, and Training U-Netcode🔒11 min06YOLO and Building Real Projects7 capsules
YOLO and Building Real Projects — 7 chapters.
34YOLO: You Only Look Oncedeep-dive🔒9 min35The YOLO Loss Functionmath🔒11 min36Fine-tuning YOLO on Custom Datacode🔒10 min37YOLO with Pose Estimation and OCRproject🔒12 min38Labeling Data with Roboflowcode🔒11 min39Capstone: Building a Detection App with Roboflowproject🔒12 min40Putting It All Togetherconcept🔒11 minRatings & reviews
1,293 readersRate this book
PN
Priya Nair
3 months ago
Dense but never confusing. Every chapter builds cleanly on the last — you can feel the care in the structure.
LC
Liam Chen
5 months ago
Practical and rigorous at the same time. I went straight from reading a capsule to shipping it at work.