Maya

Introduction

Intro to CV

Definition Lifecycle jargon

ML Applications

ML Applications 2

Supervised and Unsupervised learning

Supervised and Unsupervised Learning 2

Data Processing

Data Processing - Imbalanced Data

Underfit Overfit Model Evaluation

Underfitting, Overfitting and Model Evaluation

CV Applications

Computer Vision Applications 2

Image Represetation

Image Representation 2

Neuron

Neuron & Activation Functions

Neural Networks

Neural Networks: Components and Training

Convolution

Convolutions (Filters) 2

Padding Stride Pooling

Padding, Stride and Pooling 2

Bonus : Using Jupyter Notebooks on Sagemaker

Your Lab Details

Pre-requisite to get your Certificate

CV Datasets

LeNet

AlexNet

AlexNet 2

LeNet 2

Computer Vision Datasets 2

Transfer-Learning

Transfer Learning 2

Auto ML

VGG & Batch Normalization

VGG and Batch Normalization 2

ResNet

ResNet 2

Object Detection

Object Detection Applications

Bounding Box

Bounding Box and Anchor Box

SlidingWindows NMS

Sliding Window Method and Non-max Suppression

R CNN

Region Based Convolutional Neural Networks (R-CNNs)

YOLO

You Only Look Once (YOLO) model

Semantic Segmentation Intro

Semantic Segmentation

Fully Convolutional Neural Network (FCN)

UNet

U-Net 2