Christopher Thomas BSc Hons. MIAPinThought VectorLatent Diffusion and Perceptual Latent LossThis article shows a novel approach to training a generative model for image generation at reduced training times using latents and using a…Nov 26, 20231Nov 26, 20231
Christopher Thomas BSc Hons. MIAPinTowards Data ScienceSuper Resolution: Adobe Photoshop versus leading Deep Neural NetworksHow effective is Adobe’s Super Resolution compared to the leading super resolution deep neural network models? This article attempts to…Mar 24, 20212Mar 24, 20212
Christopher Thomas BSc Hons. MIAPinTowards Data ScienceSuper Convergence with Cyclical Learning Rates in TensorFlowSuper-Convergence using Cyclical Learning Rate schedules is one of the most useful techniques in deep learning and very often overlooked…Jan 31, 2021Jan 31, 2021
Christopher Thomas BSc Hons. MIAPinTowards Data ScienceDeep learning image enhancement insights on loss function engineeringInsights on techniques and loss function engineering for Super Resolution, Colourisation, and style transfer.Feb 21, 20202Feb 21, 20202
Christopher Thomas BSc Hons. MIAPMoss House — UCB Birmingham — a £42,000,000 construction project next to residential homesMoss House is a 42 million pound demolition and construction project in a both a conservation and residential area within Birmingham’s…Feb 2, 2020Feb 2, 2020
Christopher Thomas BSc Hons. MIAPinTowards Data ScienceTabular data analysis with deep neural netsDeep neural networks are now an effective technique for tabular data analysis, requiring little feature engineering and less maintenance…Sep 9, 20191Sep 9, 20191
Christopher Thomas BSc Hons. MIAPinTowards Data ScienceRecurrent Neural Networks and Natural Language Processing.Recurrent Neural Networks (RNNs) are a form of machine learning algorithm that are ideal for sequential data such as text, time series…Jun 9, 2019Jun 9, 2019
Christopher Thomas BSc Hons. MIAPinTowards Data ScienceAn introduction to Convolutional Neural NetworksA Convolutional neural network (CNN) is a neural network that has one or more convolutional layers and are used mainly for image…May 27, 20193May 27, 20193
Christopher Thomas BSc Hons. MIAPinTowards Data ScienceThe basics of Deep Neural NetworksWith the rise of libraries such as Tensorflow 2.0 and Fastai, implementing deep learning has become accessible to so many more people and…May 12, 2019May 12, 2019
Christopher Thomas BSc Hons. MIAPinTowards Data ScienceU-Net deep learning colourisation of greyscale imagesThis article describes experiments training a neural network to generate 3 channel colour images from single channel greyscale images…Mar 14, 20192Mar 14, 20192
