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Reading list

Deploy an Image Classification Model Using Flask
Introduction to Computer Vision
Reading and Stacking Images Understanding Colorspaces Image Processing Edge Detection Blur Detection Image Operations HOG features SIFT features Camera Calibration Interesting Applications of OpenCV
Why Do We Need CNN? How Does Filters Work in CNN? Parameter Sharing and Local Connectivity in CNN Understanding CNN Architecture What is Pooling in CNN? Math Behind Convolutional Neural Networks Image Classification Tutorial using CNN Introduction to Separable Convolutions
Introduction to Transfer Learning
CNN Visualization
LeNet AlexNet VGG16 Implement VGG Dataloaders using Pytorch Implementing VGG16 using Dataloaders
Understanding Inception Modules
Understanding Residual Blocks Building Your Own Residual Block from Scratch Understand ResNet 34 Build ResNet34 from Scratch With Python! Different Versions of ResNet
Understanding the Architecture of DenseNet
Implement Crowd Counting using CSRNet
Introduction to Object Detection Bounding Box Evaluation: (Intersection over union) IOU Calculating IOU
Why do we need Region Based Convolulional Neural Network? Fast R-CNN and Faster R-CNN Building Social Distancting Tool using Faster R-CNN
Single Shot Detector SSD Custom Object Detection on the browser using TensorFlow.js YOLOv1 Other Versions of YOLO (v2 and v3) YOLOv3 YOLOv4 YOLOv5 YOLOv7 RetinaNet
DETR
Introduction to Face Detection Why is Face Alignment Important for Face Recognition? Implementing Face Detection
Introduction to Object Tracking Object Tracking Applications
Comprehensive Guide on Pose Estimation Implement Human Pose Estimation
Introduction to Image Segmentation Different Types of Image Segmentation Implementing Background removal Image Segmentation Algorithms
Unet DeepLabv3 Mask R-CNN Architecture
Build Your Own Video Classification Model
Introduction to Image Generation What are Generative models? Understanding GANs Implementing Texture Generation using GANs Better GAN Architectures
Few Shot Learning

The DataHour: Building Smarter Solutions with No Expertise in ML

sakshi_raheja
sakshi_raheja 07 Mar, 2022
2 min read

Dear Readers, 

We are excited to announce a new webinar adding to ‘The DataHour’. We are delighted to share that we are bringing one of the top industry leaders’ Laurent Picard’ to help us to enable deeper discussions and conversations with our cherished community.

 

Date: 15th March 

Time: 7:30pm to 8:30pm IST 

Topic: Building Smarter Solutions with No Expertise in Machine Learning

 

About the Webinar

Forty years is the time it took for experts to reach the current level of machine learning: surpassing traditional algorithms, neural network models can now understand text, image, audio, and video data. 4 to 40 hours is now enough time for any developer to use such a model, or even create a new one, and solve specific business problems.

In this session, you’ll see how to benefit from existing machine learning models create a custom model with AutoML techniques. You’ll also be an active player of a live demo, so don’t put your smartphone on airplane mode!

Prerequisites: Enthusiasm for learning Data Science!

Why is this important for Data Scientists? 

Suppose you are aiming to build a career in Data Science. You will have adequate knowledge of the field by attending this webinar. Machine learning is one of the most crucial sub-set of Data Science; in this webinar, you will learn some tips and tricks to build more ingenious solutions in no time. Sounds exciting, isn’t it? 

Who is this Webinar for?

The DataHour webinar series is for Data Scientist enthusiasts.

  • Students & Freshers who want to build a career in Data Science
  • Working professionals who wish to transition to a data science career
  • Data science professionals who want to accelerate their career growth

Speaker

The DataHour | Laurent Picard

Laurent Picard, Developer Relations Engineer at Google

Laurent is a developer passionate about software, hardware, science, and everything shaping the future. He worked on educational solutions, pioneered the ebook industry, and co-founded Bookeen in a past life. Launching 24/7 digital platforms made him appreciate how much cloud technologies are developer superpowers. Laurent works at Google Paris and enjoys exploring, learning, and sharing the world of possibilities.

 

EndNotes 

I hope you’re excited to attend this webinar. Laurent will provide us with a global view, insights from Google and overall learnings from his professional journey. If you don’t want to miss this fantastic opportunity, register here. Hurry up! If you missed our previously conducted webinars, head to our YouTube Channel, find ‘The DataHour’ webinar series and check out the recordings. If you wish to run a webinar, connect with us at [email protected]. 

Stay tuned to our blog for more exciting news!

Analytics VidhyaTheDataHourwebinar series
sakshi_raheja
sakshi_raheja 07 Mar, 2022

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