Dive into AI

[DL 101] Autoencoder Tutorial (Pytorch)

Posted on February 21, 2021

Today we are going to build a simple autoencoder model using pytorch. We'll flatten CIFAR-10 dataset vectors then train the autoencoder with these flattened data. [Read More]

Tags: autoencoder

[DL 101] Transfer Learning vs. Fine Tuning vs. Training from scratch

Posted on February 13, 2021

What is transfer learning and why? [Read More]

Tags: transfer-learning fine-tuning Training from scratch CNN

[DL 101] List comprehension

Posted on February 13, 2021

Let's get familiar with list comprehension, instead of for loops [Read More]

Tags: List-comprehension python

[DL 101] Early Stopping, Weight Decay

Posted on February 13, 2021

regularization methods: early stopping, weight decay [Read More]

Tags: regularization early-stopping weight-decay

[DL 101] Object Recognition Terminology

Posted on February 12, 2021

What is object localization, object detection, semantic segmentation and instance segmentation? [Read More]

Tags: object-recognition object-detection segmentation