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Reading list

Introduction to Computer Vision
Reading and Stacking ImagesUnderstanding ColorspacesImage ProcessingEdge DetectionBlur DetectionImage OperationsHOG featuresSIFT featuresCamera CalibrationInteresting Applications of OpenCV
Why Do We Need CNN?How Does Filters Work in CNN?Parameter Sharing and Local Connectivity in CNNUnderstanding CNN ArchitectureWhat is Pooling in CNN?
Math Behind Convolutional Neural NetworksImage Classification Tutorial using CNNIntroduction to Separable Convolutions
Introduction to Transfer Learning
CNN Visualization
LeNetAlexNetVGG16Implement VGGDataloaders using PytorchImplementing VGG16 using Dataloaders
Understanding Inception Modules
Understanding Residual BlocksBuilding Your Own Residual Block from ScratchUnderstand ResNet 34Build ResNet34 from Scratch With Python!Different Versions of ResNet
Understanding the Architecture of DenseNet
Implement Crowd Counting using CSRNet
Introduction to Object DetectionBounding Box Evaluation: (Intersection over union) IOUCalculating IOU
Why do we need Region Based Convolulional Neural Network?Fast R-CNN and Faster R-CNNBuilding Social Distancting Tool using Faster R-CNN
Single Shot Detector SSDCustom Object Detection on the browser using TensorFlow.jsYOLOv1Other Versions of YOLO (v2 and v3)YOLOv3YOLOv4YOLOv5YOLOv7RetinaNet
DETR
Introduction to Face DetectionWhy is Face Alignment Important for Face Recognition?Implementing Face Detection
Introduction to Object TrackingObject Tracking Applications
Comprehensive Guide on Pose EstimationImplement Human Pose Estimation
Introduction to Image SegmentationDifferent Types of Image SegmentationImplementing Background removalImage Segmentation Algorithms
UnetDeepLabv3Mask R-CNN Architecture
Build Your Own Video Classification Model
Introduction to Image GenerationWhat are Generative models?Understanding GANsImplementing Texture Generation using GANsBetter GAN Architectures
Experiments with Pretrained GANs
Few Shot Learning
Deploy an Image Classification Model Using Flask

PyData Delhi 2017

Deepika
Deepika Last Updated : 01 Aug, 2017
< 1 min read

About PyData Delhi 2017

 

PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in data management, processing, analytics, and visualization.

We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.

For more information about the conference series, visit http://pydata.org/

Website : http://bit.do/pydd17
Submit CFP : http://bit.do/pydd17-cfp

Buy Tickets

Purchase here : http://bit.do/pydd17-tickets

Venue

IIIT Delhi, Okhla
Location : https://goo.gl/maps/7hpVhds7JRN2

Registration Fee

 INR 1000

Deepika
Deepika

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