This repository is designed to show the idea of how Deep Learning works for whom never have had experience on Deep Learning.

2020 여름 계절 학기 전공심화 수업에서 진행한 강의 영상 입니다. https://www.youtube.com/channel/UClZH5RmZxu_9NMz7_hDRgTQ

Tensorflow 2.x python3.x

Mostly python based code. Linear regression to Nueral Network that MNIST trainable by over 90% accuracy.

TensorFlow example codes.

From Logistic Regression MNIST to (almost) Full Inception model for Cifar10.

Plotting datasets in TensorFlow (MNIST, FashionMNIST, Cifar10, Cifar100)

Demonstrates how activation function works

Demonstrates how transfer learning works

Deep Learning application examples

Transfer Learning with binary classification to clasify whether you are wearing a mask on a webcam.

Full Model implementation

Supports all layers. (18, 34, 50, 101, 152)

Mobile GPU acceleration ready model.

Visualization of Deep Learning. CAM and Grad CAM

Demonstrates Pruning and Quantization of the model.

GradientDescent Animation Code (Juptyer Notebook)

Dataset Exploration on MNIST and Cifar10 with Jupter Notebook