Yablai Ruben Virgilyablairubenvirgil.hashnode.dev·Apr 17, 2024CSS Gradient colorFree to create a gradient background for your website. Linear or radial, choose the position and also choose the gradient color from left, center to right.Discuss·86 readsCSS
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Mar 14, 2024The Power of Batch Size: A Comprehensive Guide to Gradient DescentIn the realm of neural networks, one parameter stands tall among the rest, significantly influencing the training process - the batch size. Although it might seem like a minor detail, the batch size can drastically affect the training curves of your ...DiscussDeep Learning
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Mar 4, 2024Unlocking the Power of GeGLU: Advanced Activation Functions in Deep LearningIntroduction Activation functions are key pieces in the world of deep learning. They introduce non-linearity into neural networks, enabling them to learn complex patterns and relationships in data. Today, we're going to explore a specific activation ...Discuss·29 readsDeep Learning
Saurabh Naiksaurabhz.hashnode.dev·Jan 15, 2024Navigating the Descent: A Deep Dive into Gradient Descent in Deep LearningIntroduction: In the vast landscape of deep learning, the journey to optimize models for better performance often relies on the powerful technique known as Gradient Descent. This blog aims to unravel the significance of Gradient Descent in the realm ...DiscussDeep LearningArtificial Intelligence
Kumar Sakshamneuralrealm.hashnode.dev·Dec 19, 2023How Gradient Descent works in Logistic Regression | Episode 11To train a logistic regression model, we need to determine the values of the parameters w and b that minimize the cost function J of w and b. To accomplish this, we'll use gradient descent. In this video, we'll focus on how to choose good values for ...Discuss·3 likes·38 readsMachine LearningData Science
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Dec 8, 2023Understanding Early Stopping: A Key to Preventing Overfitting in Machine LearningIntroduction Have you ever trained a machine learning model only to find it performs poorly on new data? This is a common challenge in machine learning, known as overfitting. Interestingly, there's a simple yet powerful solution: early stopping. In t...DiscussMachine Learning
Kumar Sakshamneuralrealm.hashnode.dev·Dec 2, 2023Understanding Gradient Descent | Episode 6Introduction Welcome back! In the previous episode, we were introduced to the cost function j and how different values of the parameters w and b affected the cost. However, it would be helpful to have a more organized approach to determine the values...Discuss·4 likes·55 readsMachine LearningData Science
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Nov 30, 2023Mini-Batch Gradient Descent in KerasGradient descent methods represent a mountaineer, traversing a field of data to pinpoint the lowest error or cost. They are crucial in training diverse algorithms, particularly in machine learning models such as neural networks and logistic regressio...DiscussMachine Learning
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Nov 29, 2023Mini-Batch Gradient Descent in PyTorchGradient descent methods represent a mountaineer, traversing a field of data to pinpoint the lowest error or cost. They are crucial in training diverse algorithms, particularly in machine learning models such as neural networks and logistic regressio...DiscussMachine Learning
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Nov 28, 2023Mini-Batch Gradient Descent: Optimizing Machine LearningIn this article, you'll discover the magic behind mini-batch gradient descent. It cleverly breaks down the data into manageable, bite-sized pieces, making the learning process not just efficient but a tad playful. So, buckle up and prepare for a jour...DiscussGradient-Descent
