•Course Introduction
•Introduction to Computer Vision Deep Learning
•What is Computer Vision and What Makes it Hard
•What are Images
•Intro to OpenCV OpenVINO their Limitations
•Setup Your FREE Deep Learning Development Virtual Machine
•Setting up your Deep Learning Virtual Machine Download Code VM Slides here
•Optional Troubleshooting Guide for VM Setup for resolving some MacOS Issues
•Optional Manual Setup of Ubuntu Virtual Machine
•Optional Setting up a shared drive with your Host OS
•Handwriting Recognition Simple Object Classification OpenCV Demo
•Get Started Handwriting Recognition Simple Object Classification OpenCV Demo
•Experiment with a Handwriting Classifier
•Experiment with a Image Classifier
•OpenCV Demo Live Sketch with Webcam
•OpenCV Tutorial OPTIONAL Live Sketches Identify Shapes Face Detection
•Setup OpenCV
•How are Images Formed
•Storing Images on Computers
•Getting Started with OpenCV A Brief OpenCV Intro
•Grayscaling Converting Color Images To Shades of Gray
•Understanding Color Spaces The Many Ways Color Images Are Stored Digitally
•Histogram representation of Images Visualizing the Components of Images
•Creating Images Drawing on Images Make Squares Circles Polygons Add Text
•Transformations Affine And NonAffine The Many Ways We Can Change Images
•Image Translations Moving Images Up Down Left And Right
•Rotations How To Spin Your Image Around And Do Horizontal Flipping
•Scaling Resizing and Interpolations Understand How ReSizing Affects Quality
•Image Pyramids Another Way of ReSizing
•Cropping Cut Out The Image The Regions You Want or Dont Want
•Arithmetic Operations Brightening and Darkening Images
•Bitwise Operations How Image Masking Works
•Blurring The Many Ways We Can Blur Images Why Its Important
•Sharpening Reverse Your Images Blurs
•Thresholding Binarization Making Certain Images Areas Black or White
•Dilation Erosion OpeningClosing Importance of ThickeningThinning Lines
•Edge Detection using Image Gradients Canny Edge Detection
•Perspective Affine Transforms Take An Off Angle Shot Make It Look Top Down
•Mini Project Live Sketch App Turn your Webcam Feed Into A Pencil Drawing
•Segmentation and Contours Extract Defined Shapes In Your Image
•Sorting Contours Sort Those Shapes By Size
•Approximating Contours Finding Their Convex Hull Clean Up Messy Contours
•Matching Contour Shapes Match Shapes In Images Even When Distorted
•Mini Project Identify Shapes Square Rectangle Circle Triangle Stars
•Line Detection Detect Straight Lines Eg The Lines On A Sudoku Game
•Circle Detection
•Blob Detection Detect The Center of Flowers
•Mini Project Counting Circles and Ellipses
•Object Detection Overview
•Mini Project Finding Waldo Quickly Find A Specific Pattern In An Image
•Feature Description Theory How We Digitally Represent Objects
•Finding Corners Why Corners In Images Are Important to Object Detection
•Histogram of Oriented Gradients Another Novel Way Of Representing Images
•HAAR Cascade Classifiers Learn How Classifiers Work And Why Theyre Amazing
•Face and Eye Detection Detect Human Faces and Eyes In Any Image
•Mini Project Car and Pedestrian Detection in Videos
•Neural Networks Explained in Detail
•Neural Networks Chapter Overview
•Machine Learning Overview
•Neural Networks Explained
•Forward Propagation
•Activation Functions
•Training Part Loss Functions
•Training Part Backpropagation and Gradient Descent
•Backpropagation Learning Rates A Worked Example
•Regularization Overfitting Generalization and Test Datasets
•Epochs Iterations and Batch Sizes
•Measuring Performance and the Confusion Matrix
•Review and Best Practices
•Convolutional Neural Networks CNNs Explained in Detail
•Convolutional Neural Networks Chapter Overview
•Convolutional Neural Networks Introduction
•Convolutions Image Features
•Depth Stride and Padding
•ReLU
•Pooling
•The Fully Connected Layer
•Training CNNs
•Designing Your Own CNN
•Build CNNs in Python using Keras Handwriting Recognition MNIST
•Building a CNN in Keras
•Introduction to Keras Tensorflow
•Building a Handwriting Recognition CNN
•Loading Our Data
•Getting our data in Shape
•Hot One Encoding
•Building Compiling Our Model
•Training Our Classifier
•Plotting Loss and Accuracy Charts
•Saving and Loading Your Model
•Displaying Your Model Visually
•Building a Simple Image Classifier using CIFAR
•What CNNs see Learn to do Filter Visualizations Heatmaps and Salience Maps
•Introduction to Visualizing What CNNs see Filter Visualizations
•Saliency Maps Class Activation Maps
•Filter Visualizations
•Heat Map Visualizations of Class Activations
•Data Augmentation Build a Cats vs Dogs Classifier
•Data Augmentation Chapter Overview
•Splitting Data into Test and Training Datasets
•Train a Cats vs Dogs Classifier
•Boosting Accuracy with Data Augmentation
•Types of Data Augmentation
•Confusion Matrix Classification Report Viewing Misclassifications
•Introduction to the Confusion Matrix Viewing Misclassifications
•Understanding the Confusion Matrix
•Finding and Viewing Misclassified Data
•Types of Optimizers Learning Rates Callbacks Build a Fruit Classifier
•Introduction to the types of Optimizers Learning Rates Callbacks
•Types Optimizers and Adaptive Learning Rate Methods
•Keras Callbacks and Checkpoint Early Stopping and Adjust Learning Rates that Pl
•Build a Fruit Classifier
•Batch Normalization Build LeNet AlexNet Build a FashionClothes Classifier
•Intro to Building LeNet AlexNet in Keras Understand Batch Normalization
•Build LeNet and test on MNIST
•Build AlexNet and test on CIFAR
•Batch Normalization
•Build a Clothing Apparel Classifier Fashion MNIST
•ImageNet in Keras VGG InceptionV ResNet Advanced Image Classiers
•Chapter Introduction
•ImageNet Experimenting with pretrained Models in Keras VGG ResNet Mobi
•Understanding VGG and VGG
•Understanding ResNet
•Understanding InceptionV
•Transfer Learning and Fine Tuning Build a Flower and Monkey Breed Classifier
•What is Transfer Learning and Fine Tuning
•Build a Monkey Breed Classifier with MobileNet using Transfer Learning
•Build a Flower Classifier with VGG using Transfer Learning
•Design Your Own CNN LittleVGG Build a Simpsons Character Classifier
•Introducing LittleVGG
•Simpsons Character Recognition using LittleVGG
•Advanced Activation Functions and Initializations
•Dying ReLU Problem and Introduction to Leaky ReLU ELU and PReLUs
•Advanced Initializations
•Deep Surveillance Build a Facial Emotion Age Gender Recognition System
•Build an Emotion Facial Expression Detector
•Build EmotionAgeGender Recognition in our Deep Surveillance Monitor
•Image Segmentation Medical Imaging in UNet Find Nuclei in Images
•Chapter Overview on Image Segmentation Medical Imaging in UNet
•What is Segmentation And Applications in Medical Imaging
•UNet Image Segmentation with CNNs
•The Intersection over Union IoU Metric
•Finding the Nuclei in Divergent Images
•Principles of Object Detection
•Object Detection Introduction Sliding Windows with HOGs
•RCNN Fast RCNN Faster RCNN and Mask RCNN
•Single Shot Detectors SSDs
•YOLO to YOLOv
•TensorFlow Object Detection API
•TFOD API Install and Setup
•Experiment with a ResNet SSD on images webcam and videos
•How to Train a TFOD Model
•Object Detection with YOLO Darkflow Build a London Underground Sign Detector
•Setting up and install Yolo DarkNet and DarkFlow
•Experiment with YOLO on still images webcam and videos
•Build your own YOLO Object Detector Detecting London Underground Signs
•DeepDream Neural Style Transfers Make AI Generated Art
•DeepDream How A