Fashion MNIST Classification with TensorFlow featuring Deepmind Sonnet

August 10, 2018 in Machine Learning, TensorFlow, Deepmind

In this post we’ll be looking at how to perform a simple classification task on the Fashion MNIST dataset using TensorFlow (TF) and Deepmind’s Sonnet library.

Suraj Narayanan Sasikumar

Reinforcement Learning • Machine Learning • AI Safety

Research

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Bayesian Optimization - Part 1: Stochastic Processes

Jul 7, 2019

Introduction More often than not, the difference between a crappy and powerful implementation of a Machine Learning (ML) algorithm is the choice of its hyperparameters. Hyperparameter Tuning was considered an artistic skill that ML practitioners acquired with experience. Over the past few years several advancements have been made in this area to perform hyperparameter tuning in a more informed manner. Techniques such as Bayesian Optimization, Neural Architecture Search, Probabilistic Matrix Factorization have been developed in the recent past to tackle hyperparameter tuning with great success.

13 posts found

Fashion MNIST Classification with TensorFlow featuring Deepmind Sonnet

Suraj Narayanan Sasikumar

Bayesian Optimization - Part 1: Stochastic Processes

The Case for Conscious Isolation

Fashion MNIST Classification with TensorFlow featuring Deepmind Sonnet

Tensorflow: A Conceptual Introduction

The Complete Solution to $\bf{A}\bf{x}=\bf{b}$

About Me

[Excerpts] The Illicit Happiness of Other People By Manu Joseph

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