Lucas David my personal website/blog https://lucasdavid.github.io/ Observing Optimizer Behavior over Search Surfaces Visualizing the training process over various optimization surfaces. Tue, 12 Nov 2024 18:00:00 +0000 https://lucasdavid.github.io//blog/machine-learning/optimizers/ https://lucasdavid.github.io//blog/machine-learning/optimizers/ Activation, Cross-Entropy and Logits Discussion around the activation loss functions commonly used in Machine Learning problems. Mon, 30 Aug 2021 17:29:00 +0000 https://lucasdavid.github.io//blog/machine-learning/crossentropy-and-logits/ https://lucasdavid.github.io//blog/machine-learning/crossentropy-and-logits/ Santos Dumont Super Computer Accessing and using the SDumont infrastructure for Deep Learning research. Mon, 30 Aug 2021 10:14:00 +0000 https://lucasdavid.github.io//blog/infrastructure-and-tools/sdumont/ https://lucasdavid.github.io//blog/infrastructure-and-tools/sdumont/ Segmentation and Detection A comparison between edge-based segmentation, Felzenszwalb's method and morphological segmentation. Fri, 16 Jul 2021 22:37:00 +0000 https://lucasdavid.github.io//blog/computer-vision/segmentation/ https://lucasdavid.github.io//blog/computer-vision/segmentation/ K-Means and Hierarchical Clustering Efficient clustering algorithms implementations in TensorFlow and NumPy. Fri, 11 Jun 2021 15:58:00 +0000 https://lucasdavid.github.io//blog/machine-learning/clustering/ https://lucasdavid.github.io//blog/machine-learning/clustering/ The 2D Fourier Transform Applying the Fourier Transform over images using TensorFlow. Wed, 09 Jun 2021 10:40:00 +0000 https://lucasdavid.github.io//blog/computer-vision/fourier/ https://lucasdavid.github.io//blog/computer-vision/fourier/ A Vectorized Implementation of The Convolution Operation Implementing a few numeric operations over images using Python programming language. Tue, 08 Jun 2021 12:22:00 +0000 https://lucasdavid.github.io//blog/computer-vision/vectorization/ https://lucasdavid.github.io//blog/computer-vision/vectorization/ Class Activation Mapping Explaining AI with Grad-CAM. Tue, 23 Mar 2021 08:34:00 +0000 https://lucasdavid.github.io//blog/machine-learning/cam/ https://lucasdavid.github.io//blog/machine-learning/cam/ Explaining Machine Learning Models Explainability using tree decision visualization, weight composition, and gradient-based saliency maps. Fri, 15 Jan 2021 16:12:00 +0000 https://lucasdavid.github.io//blog/machine-learning/explaining-ai/ https://lucasdavid.github.io//blog/machine-learning/explaining-ai/ Caso de estudo sobre regressão linear (in Portuguese) Uma descrição detalhadas dos princípios da regressão linear, a partir de um caso prático. Wed, 30 Sep 2020 02:46:00 +0000 https://lucasdavid.github.io//blog/machine-learning/lm/ https://lucasdavid.github.io//blog/machine-learning/lm/