PinnedJaron CollisAI Adventures in The Library of BabelWould infinite books give us infinite knowledge?14 min read·Apr 2, 2023----
PinnedJaron CollisinEntrepreneur FirstThe Creation VocationReflections on founding a startup. Why you should create, and encourage others to create.13 min read·Apr 2, 2018--5--5
Jaron CollisinDeeper LearningGlossary of Deep Learning: Batch NormalisationA technique for improving the performance and stability of neural networks.4 min read·Jun 27, 2017--1--1
Jaron CollisinDeeper LearningGlossary of Deep Learning: AutoencoderAn Autoencoder is neural network capable of unsupervised feature learning.3 min read·May 26, 2017----
Jaron CollisinDeeper LearningGlossary of Deep Learning: Dynamic Memory NetworksA Dynamic Memory Network (DMN) is a refinement of the classic Seq2Seq architecture that adds an episodic memory.3 min read·May 15, 2017----
Jaron CollisinDeeper LearningGlossary of Deep Learning: ErrorIn learning, error is not a fault or failure, but a signal — an insight into how the accuracy of a model might be improved.7 min read·Apr 26, 2017----
Jaron CollisinDeeper LearningGlossary of Deep Learning: Word EmbeddingWord Embedding turns text into numbers, because learning algorithms expect continuous values, not strings.5 min read·Apr 19, 2017--5--5
Jaron CollisinDeeper LearningGlossary of Deep Learning: BiasBias contributes to the output of a neuron, allowing the activation function to be shifted left or right, to better fit the data.2 min read·Apr 14, 2017--3--3
Jaron CollisinDeeper LearningA Glossary of Deep LearningA notebook of deep learning concepts, carefully explained in simple language. Because complexity doesn’t need to be complicated.2 min read·Apr 12, 2017--3--3
Jaron CollisinDeeper LearningGlossary of Deep Learning: BackpropagationBackpropagation is the mathematical process that enables a neural networks to learn from their mistakes.5 min read·Apr 12, 2017--1--1