Practical Transfer Learning ( Deep Learning )in Python

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction and Course Outline

Lecture 2: Do you want to be poet?

Lecture 3: Becoming Poet Part 1

Lecture 4: Becoming Poet Part 2

Lecture 5: Becoming Poet Part 3

Lecture 6: Three main motivation for Transfer Learning

Lecture 7: Success of Transfer Learning – Andrew Ng

Lecture 8: Transfer Learning vs Traditional ML and Deep Learning

Lecture 9: Transfer Learning vs Traditional ML and Deep Learning 2

Chapter 2: Understanding Transfer Learning

Lecture 1: Basic Understanding of Transfer Learning

Lecture 2: Technical Terms of Transfer Learning

Lecture 3: What , How and When to do Transfer Learning

Lecture 4: Negative Transfer Learning

Lecture 5: Inductive Bias

Lecture 6: Transfer Learning in Deep Learning

Lecture 7: Types of Transfer Learning in Deep Learning

Lecture 8: Top-1 and Top-5 Accuracy

Chapter 3: Google Teachable Machine – Unlimited edge for Transfer Learning

Lecture 1: Introduction to Teachable Machine

Lecture 2: Mask Face Classification

Lecture 3: Indian Rupee Classification

Lecture 4: Audio Classification – Man in Black

Lecture 5: Audio Classification – Bell and Clap

Lecture 6: Pose Classification – Bad Posture

Lecture 7: Pose Classification – Yoga pose

Lecture 8: Yoga Pose Testing

Lecture 9: Tensorflow.js Model Deployment with p5

Lecture 10: More Internal Deployment

Lecture 11: Labels and Confidence Detail

Lecture 12: Android Deployment

Chapter 4: Worth Reading Articles

Lecture 1: Articles

Chapter 5: Transfer Learning in Python

Lecture 1: Downloaded Model Location

Lecture 2: Direct Use of Model

Lecture 3: Dataset Preparation for Custom Model

Lecture 4: Making of Custom Model – Last Layer change

Lecture 5: Fitting of Custom Model – 4 Class Model

Chapter 6: Monkey Species Classification

Lecture 1: Model Downloading

Lecture 2: Existing Models Checking

Lecture 3: Data Loading -1

Lecture 4: Data Loading One Hot Encoding

Lecture 5: Resnet Custom Model

Lecture 6: Fitting Custom Resnet Model

Lecture 7: Basic CNN Model on Monkey Dataset

Lecture 8: Fitting Basic Model

Lecture 9: Thank you – For the Course

Chapter 7: (Optional ) 4 Classes Model (Cat , dog, horse, human)

Lecture 1: Checking against pre-trained model

Lecture 2: Dataset Preparation for Custom Model

Lecture 3: Custom Model

Lecture 4: Fitting the Model

Chapter 8: (Optional)Full Demo – DOG CAT Classifier

Lecture 1: Data Preparation-1

Lecture 2: Image to Numpy Array

Lecture 3: Label Encoding

Lecture 4: Basic CNN Model-1

Lecture 5: CNN Model-2 with Drop out and More layer