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learning-by-doing deep-learning deep-neural-networks cnn-keras cnn-model cnn-for-visual-recognition cnn-architecture transfer datathon transfer-learning

dphi-dl-bootcamp's Introduction

Dphi : Deep Learning Online Bootcamp

Overview

Deep Learning Online Bootcamp Learn from industry experts for free Ongoing (20th Aug - 6th Sep'20)

An immersive community learning experience designed for beginners and intermediate learners

Period	Modules	Live Sessions	Quizes/Assignments	Datathon
18 days bootcamp	15 learning modules	5 live sessions	6 quizzes/assignments	1 Datathon on real-world dataset

What you will Learn

Contents

Courses

Course Materials Contents

Day	Description	Slides	PDF	Notebook
1	Introduction to Deep Learning	Link	-	-
2	Introduction to Neural Networks	-	-	-
3	Tensor Operations	Link	-	Link
4	Neural Networks for Regression	Link	-	Link
5	Working of Neural Network	Link	-	-
6	Binary Classification	Link	-	Link
7 & 8	Activation Functions, Optimizers & Multi-Class Classification	Link	-	Link
9 & 10	Optimizing a Neural Networks - Part 1	Link	-	-
11	Optimizing Training of Neural Networks	Link	-	Link
12	Optimizing a Neural Networks - Part 2	Link	-	Link
13	Computer Vision and OpenCV	Link	-	Link
14	CNN Essentials	Link	-	Link

Assignments

Assignment 1

Name	Objective	Data	Evaluation Criteria	Leaderboard	Link	Notebook
Object Recognition	Your task here is to build a deep learning model that helps you recognize the object in images and predict the class of the image. (class ranges from 1 to 10)	Dataset Link	Accuracy Score = 78.05	#58	LINK	Notebook Link

Assignment 2

Name	Objective	Data	Evaluation Criteria	Leaderboard	Link	Notebook
Recognize Animals	Your task here is to build a deep learning model that helps you recognize the animal or bird in images (5 classes)	Dataset Link	Accuracy Score = 96.373626	#21	LINK	Notebook Link

Datathon

Datathon

While in the BootCamp

Name	Objective	Data	Evaluation Criteria	Leaderboard	Link	Notebook
Face Mask Detection	Your task here is to build a machine/deep learning model to detect face masks	Dataset Link	Accuracy Score = 99.804688	#3	LINK	Notebook Link

Outside the BootCamp

Name	Objective	Data	Evaluation Criteria	Leaderboard	Link	Notebook
Bank Marketing	Predict if a Customer will subscribe the product or not	Dataset Link	F1-Score = 62.3507228158391	#15	LINK	Notebook Link

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