Vizuara Books
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.
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00Foundations of Vision5 capsules
Foundations of Vision — 5 chapters.
01What Is Computer Vision?conceptfree12 min02Images as Tensorsintuition🔒12 min03Filters and the Convolution Operationmath🔒12 min04Output Dimensions: Stride and Paddingmath🔒14 min05TensorFlow vs NumPy: Why Speed Matterscode🔒13 min01From Linear Models to Deep Networks6 capsules
From Linear Models to Deep Networks — 6 chapters.
06A Linear Model for 5-Class Classificationcode🔒12 min07Weights, Biases, and the Loss Surfaceconcept🔒13 min08Hidden Layers and the ReLU Activationintuition🔒13 min09Counting Parameters in a Networkmath🔒12 min10Softmax vs Sigmoid: Multi-class vs Multi-labelconcept🔒12 min11Tracking Experiments with Weights & Biasescode🔒11 min02Generalization and Transfer Learning6 capsules
Generalization and Transfer Learning — 6 chapters.
12Overfitting and the Bias-Variance Tradeoffconcept🔒11 min13L1 and L2 Regularizationmath🔒12 min14Dropout, Augmentation, and Early Stoppingcode🔒12 min15What Is Transfer Learning?concept🔒12 min16The AlexNet Architecturedeep-dive🔒13 min17Fine-tuning AlexNet in Codecode🔒14 min03Modern CNN Architectures5 capsules
Modern CNN Architectures — 5 chapters.
18VGG16: Deep and Simpledeep-dive🔒12 min19The Vanishing Gradient Problemintuition🔒11 min20ResNet and Skip Connectionsdeep-dive🔒12 min21Implementing VGG and ResNetcode🔒11 min22A History of CNNsconcept🔒15 min04OpenCV and Real-Time Vision4 capsules
OpenCV and Real-Time Vision — 4 chapters.
23Introduction to OpenCVcode🔒15 min24Motion Detection with OpenCVproject🔒13 min25Deploying a Vision App with Streamlitproject🔒14 min26Real-Time Detection and Tracking with YOLOv8code🔒14 min05Object Detection and Segmentation7 capsules
Object Detection and Segmentation — 7 chapters.
27The Object Detection Problemconcept🔒14 min28R-CNN: Region Proposals and Selective Searchdeep-dive🔒13 min29Fast and Faster R-CNNdeep-dive🔒14 min30Mask R-CNN and Instance Segmentationdeep-dive🔒12 min31Implementing the R-CNN Familycode🔒13 min32U-Net: Encoder-Decoder Segmentationdeep-dive🔒13 min33DICE, IoU, and Training U-Netcode🔒13 min06YOLO and Building Real Projects7 capsules
YOLO and Building Real Projects — 7 chapters.
34YOLO: You Only Look Oncedeep-dive🔒12 min35The YOLO Loss Functionmath🔒13 min36Fine-tuning YOLO on Custom Datacode🔒12 min37YOLO with Pose Estimation and OCRproject🔒14 min38Labeling Data with Roboflowcode🔒13 min39Capstone: Building a Detection App with Roboflowproject🔒14 min40Putting It All Togetherconcept🔒13 minRatings & reviews
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