This is my (Isaac Flath) personal blog. I write about things of interest or use to me or those around me. They are usually deep learning related topics. Enjoy!

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Posts

Fine Grain Image Classification
Creating a fine grain image classifier - Pet Breeds!
Jun 27, 2020
Connecting Jupyter to EC2
How I use an EC2 instance for Deep Learning
Jun 25, 2020
Neural Network Basics (Part 2)
Under the hood of a basic Deep Learning Image Classifier (Multi-Class)
Jun 21, 2020
Neural Network Basics (Part 1)
Under the hood of a basic Deep Learning Image Classifier
Jun 19, 2020
Gradient Descent for Linear Regression (Part 2)
Under the hood of gradient descent for model optimization
Jun 11, 2020
Solving $Ax=b$ - The Complete Solution (18.06_L8)
Linear Algebra - Defining the complete solution to $Ax=b$
Jun 6, 2020
Gradient Descent for Linear Regression (Part 1B)
Under the hood of gradient descent for model optimization
Jun 1, 2020
Column Space and Null Space (18.06_L7)
Linear Algebra - Defining the whole nullspace and row echelon form
May 17, 2020
Column Space and Null Space (18.06_L6)
Linear Algebra - Introduction to columns space and nullspace
May 16, 2020
Transposes, Permutations, and Spaces (18.06_L5)
Linear Algebra - Row Exchanges, spaces and subspaces, oh my!
May 13, 2020
Factorization into $A=LU$ (18.06_L4)
Linear Algebra - From $EA=U$ to $A=LU$
May 12, 2020
Predictive Customer Analytics (Part 2)
Simple and minimalistic predictive customer analytics starting point
May 12, 2020
Random Forest Classifier
Machine Learning - The basics of building a decent binary classifier on tabular data
May 11, 2020
Multiplication and Inverse Matrices (18.06_L3)
Linear Algebra - Matrix Multiplication, Finding Inverses, and introduction to Gauss-Jordan Elimination.
May 11, 2020
Descriptive Customer Analytics (Part 1)
Simple and minimalistic descriptive customer analytics starting point
May 10, 2020