This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

Project #	Network Type	Project
1	LSTM + W2C (Keras)	Sentiment Analysis
2	Generative Adversarial Network	Generate Synthetic Images
3	LSTM Autoencoder	Detect Anomalies in Time Series
4	Siamese Network	MNIST Handwritten Digits
5	Autoencoders	Reducing Dimensions In Data
6	Convolutional Neural Networks	COVID-19 Detection Using X-Rays
7	SARIMAX + FB Prophet	COVID-19 Time Series
8	Random Forest Classifier	Imbalanced CC Fraud Detection
9	Ensemble ( VGG19 + Xception )	Malaria Dataset Classification
10	NLP TF Hub Models	NLP Transfer Learning
11	Simple Probabilistic Model	HAR Dataset Weights & Outputs Uncertainty
12	Plain FC NN	From Scratch in TF 2.x
13	BERT (Pytorch)	Sentiment Analysis Twitter SMILE dataset
14	Autoencoder	Image Denoising
15	2D Convolutional NN	Visualizing Filters of CNNs
16	ResNet152 Transfer Learning	CIFAR10 Dataset & 96% Accuracy on Test Set