Introduction to Deep Learning for Vision
Ajinkya Kolhe - Senior Technical Trainer - Data Engineering| ML| DL
5 modules
English
Lifetime access
Understand Deep Learning fundamentally - An accelerated course for Developers
Overview
A Cohort to teach Programmers, skill necessary to get started in domain of Data Science. A four week cohort to build entire fundamental foundation of Deep Learning domain
Curriculum
Modules
Week 1: "Simple Neural Network" for "Simple Problem"
7 attachments • 5 hrs
week 1 Prerequisites
LECTURES
(Lecture 1): Building the first Intelligence from B&W Data
(Lecture 2): Competing Globally with Kaggle
ASSIGNMENTS
Week 1 : Quiz
Week 1: Kaggle Competition - Digit Recognizer - (Bronze Medal)
Week 2: Experimenting with "Neural Network" for "Simple Problem"
7 attachments • 4 hrs
Week 2 - Reading Materials
LECTURES
(Lecture 3): Revision + (Assignment & Quiz Discussion)
(Lecture 4): Building Intelligence from Colored Data
ASSIGNMENTS
Week 2: Quiz
Week 2: Kaggle Competition on Color Data (CIFAR10)
Week 3: Scaling "Neural Network" for "Real Life Problem"
5 attachments • 4 hrs
LECTURES
(Lecture 5): Revisiting CNN
(Lecture 6): Scaling like Visual Cortex & Imagenet 100
ASSIGNMENTS
Week 3: Imagenet 100 Competition
Week 4: "Neural Networks" at Scale for "Real Life Data"
6 attachments
LECTURES
(9 Dec - Saturday): Previous Week Assignment & Quiz Discussion (Lecture 7)
(10 Dec - Sunday): Understanding NN & Scaling for 1000 (Lecture 8)
ASSIGNMENTS
Week 4: Kaggle Competition for Image Classification Imagenet
Week 4: Improve Imagenet Benchmark 2012 to 2017
Kaggle Showcase Project
1 attachment
Students Project Presentation Kaggle (Lecture 9)
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About the creator
Ajinkya Kolhe - Senior Technical Trainer - Data Engineering| ML| DL
Ajinkya Kolhe is a Senior Technical Trainer with 7+ years of experience in the following domains:
- Software Development
- Enterprise customer training
- Making DL concepts easier to understand and providing functional solutions to real world problems.
Ajinkya has trained individuals across a wide range of experience and knowledge levels like:
- Computer Science Students
- Developers looking to upskill
- ML training for College and Corporate batches both as a part of Google and freelance.
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