Tag: machine-learning
- Fast.ai v3 Lesson 12 Notes: Advanced training techniques; ULMFiT from scratch (25 Oct 2020)
My personal notes on Lesson 12 of part 2 of fast.ai (v3, 2019) -- Advanced training techniques; ULMFiT from scratch. - Fast.ai v3 Lesson 11 Notes: Data Block API, the Generic Optimizer, Data Augmentation (16 Aug 2020)
My personal notes on Lesson 11 of part 2 of fast.ai (v3, 2019) -- Data Block API, the Generic Optimzier, and Data Augmentation. - Fast.ai Lesson 10 Notes: Looking inside the model (24 Mar 2020)
My personal notes on Lesson 10 of part 2 of fast.ai (2019) -- Looking inside the model. - Fast.ai Lesson 9 Notes: Training in Depth (16 Feb 2020)
My personal notes on Lesson 9 of part 2 of fast.ai (2019) -- Loss functions, optimizers, and the training loop. - Fast.ai Lesson 8 Notes: Backprop from the Foundations (06 Feb 2020)
My personal notes on Lesson 8 of part 2 of fast.ai (2019) -- Matrix Multiplication; Forward and Backward Passes. - Galaxy Zoo Kaggle Competition Redux with Fast.ai (20 Sep 2019)
In this post I use Fastai to tackle the Galaxy Zoo Kaggle competition from 2014. This is a multi-class classification problem using deep learning. (Image by Antonio Ciccolella / M. De Leo) . - Fast.ai Lesson 6 Notes: CNN Deep Dive; Ethics (01 Sep 2019)
My personal notes on Lesson 6 of part 1 of fast.ai (2019) -- Regularization; Convolutions; Data ethics. - Fast.ai Lesson 5 Notes: Backpropagation; Neural Network From Scratch (29 Aug 2019)
My personal notes on Lesson 5 of part 1 of fast.ai (2019) -- Back propagation; Accelerated SGD; Neural net from scratch. - Fast.ai Lesson 4 Notes: NLP; Tabular Data; Recommenders (18 Aug 2019)
My personal notes on Lesson 4 of part 1 of fast.ai (2019) -- NLP; Tabular data; Collaborative filtering; Embeddings. - Fast.ai Lesson 3 Notes: Multi-label, Segmentation (23 Jul 2019)
My personal notes on Lesson 3 of part 1 of fast.ai (2019) -- Data blocks; Multi-label classification; Segmentation. - SGD From Scratch (fast.ai) (13 Jul 2019)
A deeper dive into fast.ai Lesson 2: SGD from Scratch. - Fast.ai Lesson 2 Notes: Data Cleaning and Production (12 Jul 2019)
My personal notes on Lesson 2 of part 1 of fast.ai (2019) -- Data cleaning and production; SGD from scratch. - Fast.ai Lesson 1 Notes: Image Classification (06 Jul 2019)
My personal notes on Lesson 1 of part 1 of fast.ai (2019) -- Image classification. - SIFTing Images (30 Dec 2016)
In this post I describe my work on extracting and filtering printers' ornaments from digitized 18th century documents in Fleuron project at the University of Cambridge in 2016. I used techniques from computer vision and machine learning to accomplish my goals.