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Gerald Muriuki
Gerald Muriuki

755 Followers

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Oct 20, 2021

Detecting Keratoconus from Corneal Imaging using Deep Learning

A few weeks ago I was diagnosed with an eye condition known as Keratoconus. Keratoconus affects approximately one in 2,000 individuals worldwide. It is typically associated with a decrease in visual acuity. Before this, I had no idea what a cornea topography was. After receiving my cornea topography images. I…

Medical Imaging

5 min read

Detecting Keratoconus from Corneal Imaging using Deep Learning
Detecting Keratoconus from Corneal Imaging using Deep Learning
Medical Imaging

5 min read


Jan 5, 2020

The 2019 Year In Review

This 2019 year in review is an exercise in looking back and seeing how much has changed in just this one year alone. While I did manage to accomplish a few things, It is the things that I didn’t plan ahead that brought me the greatest sense of fulfillment and…

Machine Learning

6 min read

The 2019 Year In Review
The 2019 Year In Review
Machine Learning

6 min read


Published in Towards Data Science

·Mar 8, 2019

Paper Summary: U-Net: Convolutional Networks for Biomedical Image Segmentation

U-nets yielded better image segmentation in medical imaging. U-Net: Convolutional Networks for Biomedical Image Segmentation paper was published in 2015. Problem There is large consent that successful training of deep networks requires many thousand annotated training samples. …

Machine Learning

3 min read

Paper Summary: U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper Summary: U-Net: Convolutional Networks for Biomedical Image Segmentation
Machine Learning

3 min read


Feb 17, 2019

Paper Summary: Deep Residual Learning for Image Recognition.

ResNets created major improvements in accuracy in many computer vision tasks. Deep Residual Learning for image recognition was published in 2015. Problem Adding more layers leads to the model’s accuracy saturating, then rapidly decaying, and higher training errors — the degradation problem. Driven by the significance of network depth, a question…

Machine Learning

3 min read

Paper Summary: Deep Residual Learning for Image Recognition.
Paper Summary: Deep Residual Learning for Image Recognition.
Machine Learning

3 min read


Published in Towards Data Science

·Aug 25, 2018

Deep Learning; Personal Notes Part 1 Lesson 4: Structured learning, Natural language Processing, Collaborative filtering. Dropout, Embeddings, Back Prop Through Time.

This blog post series will be updated as I have a second take on the fast ai lessons. These are my personal notes; a strive to understand things clearly and explain them well. Nothing new, only living up this blog. Fast.ai takes the approach of “here is how to use…

Machine Learning

34 min read

Deep Learning; Personal Notes Part 1 Lesson 4: Structured learning, Natural language Processing…
Deep Learning; Personal Notes Part 1 Lesson 4: Structured learning, Natural language Processing…
Machine Learning

34 min read


Published in Towards Data Science

·Aug 21, 2018

Deep Learning; Personal Notes Part 1 Lesson 3: CNN theory; Convolutional filters, Max pooling, activations, softmax, sigmoid & submitting results to Kaggle.

This blog post series will be updated as I have a second take on the fast ai lessons. These are my personal notes; a strive to understand things clearly and explain them well. Nothing new, only living up this blog. Quick Dogs Vs Cats Here is an end to end…

Machine Learning

21 min read

Deep Learning; Personal Notes Part 1 Lesson 3: CNN theory; Convolutional filters, Max pooling…
Deep Learning; Personal Notes Part 1 Lesson 3: CNN theory; Convolutional filters, Max pooling…
Machine Learning

21 min read


Published in Towards Data Science

·Aug 13, 2018

Deep Learning; Personal Notes Part 1 Lesson 2, Learning rate, Data Augmentation, Annealing, Test Time Augmentation

This blog post series will be updated as I have a second take on the fast ai lessons. These are my personal notesm a strive to understand things clearly and explain them well. Nothing new, only living up this blog. Lesson 1 review We used three lines of code to build an image…

Machine Learning

23 min read

Deep Learning; Personal Notes Part 1 Lesson 2, Learning rate, Data Augmentation, Annealing, Test…
Deep Learning; Personal Notes Part 1 Lesson 2, Learning rate, Data Augmentation, Annealing, Test…
Machine Learning

23 min read


Published in Coinmonks

·Aug 6, 2018

Deep Learning; Personal Notes Part 1 Lesson 1, Image Classification

This blog post series will be updated as I have a second take on the fast ai lessons. These are my personal notes, a strive to understand things clearly and explain them well. Nothing new, only living up to this blog. I will be renting Paperspace GPUs (graphical processing units)…

Machine Learning

12 min read

Deep Learning; Personal Notes Part 1 Lesson 1, Image Classification
Deep Learning; Personal Notes Part 1 Lesson 1, Image Classification
Machine Learning

12 min read


Jul 18, 2018

Why I will be writing about Machine Learning and Deep Learning

If you want to master something, teach it. — Richard Feynman TLDR: writing as proof of work This blog post won’t be long. I don’t intend to waste your time by telling you why I do things the way I do them as my circumstances are definitely different from yours. …

Machine Learning

2 min read

Machine Learning

2 min read


Published in Good Audience

·Jun 8, 2018

Predicting FIFA World Cup 2018 using Machine Learning.

With the kickoff of the 2018 FIFA World Cup fast approaching, every soccer fan in the world is dying to know: Who will capture the coveted trophy? If you’re not just a soccer fan but also a techie, I guess you have realized that Machine Learning and Artificial Intelligence are…

Machine Learning

8 min read

Predicting FIFA World Cup 2018 using Machine Learning.
Predicting FIFA World Cup 2018 using Machine Learning.
Machine Learning

8 min read

Gerald Muriuki

Gerald Muriuki

755 Followers

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