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VViolemachine-learning-journey.hashnode.devMar 10, 2025 · 10 min read

4. Gradient Descent: Discovering Adam Optimizer

🚀 Implementation of ADAM In earlier posts, we implemented a momentum-based optimizer, which offered several advantages: Momentum helps avoid getting stuck in local minima, much like in physics 🏃‍♂️. It smooths updates by acting as a moving averag...

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VViolemachine-learning-journey.hashnode.devFeb 27, 2025 · 3 min read

3. Gradient Descent: Exploring Momentum

Implementing Momentum-based Optimizer 🚀 Context Last time, we implemented a simple learning rate scheduler and identified a major flaw: over time, it becomes unreliable for optimizing the training process. So, we decided to upgrade it. I had always ...

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VViolemachine-learning-journey.hashnode.devFeb 25, 2025 · 3 min read

2. Gradient Descent: The First Step in Optimization

🚀 Learning Rate Scheduling: Fixing the Convergence Issue Context 📚 In my first post, I implemented simple Gradient Descent, and while it worked, we faced a common issue—the convergence of parameters was inconsistent. The intercept (b) converged muc...

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VViolemachine-learning-journey.hashnode.devFeb 23, 2025 · 2 min read

1. Gradient Descent: My First Implementation🚀

Exploring Derivatives in Practice Context 📚 After completing a Linear Algebra course, I transitioned to studying Calculus. Unexpectedly, at work, I found myself contemplating derivatives and integrals. This sparked an idea—why not apply derivatives ...

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AKAnkit Kumartheminermind.hashnode.devJul 22, 2024 · 3 min read

Understanding K-Nearest Neighbors (KNN): From Basics to Weighted KNN

Introduction K-Nearest Neighbors (KNN) is an intuitive algorithm used for classification and regression. Imagine you move to a new neighborhood and want to know the best restaurant. You ask your closest neighbors for recommendations, and the majority...

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CPChinmay Pandyachinmaypandya.hashnode.devJun 8, 2024 · 7 min read

How to Create a Keras-Style Neural Network from Scratch

Deep learning, leveraging multi-layered neural networks, has gained popularity due to enhanced computational power and large datasets. It excels in image and speech recognition, NLP, autonomous driving, and healthcare diagnostics, transforming indust...

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JTJalel TOUNSIsecondbrain.hashnode.devApr 30, 2024 · 3 min read

Build an open source AI assistant with Streamlit, Microsoft Phi-3 & Ollama

Let's build a chatbot with just Python using the Streamlit library, Ollama, and Microsoft Phi-3. Streamlit Streamlit turns data scripts into shareable web apps in minutes. All in pure Python. No front‑end experience required. You can find more info i...

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DKDenis Khodishchenkodenislearns.techMar 22, 2024 · 15 min read

Building python asyncio from scratch (to understand it)

In Python, asyncio is a fundamental library that empowers you to write concurrent code using the async/await syntax. This approach is particularly well-suited for applications that involve a significant amount of waiting for I/O (input/output) operat...

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DSDeepanshu Sachdevaeasydemystifyml.hashnode.devJun 16, 2023 · 5 min read

Understanding Transformers - Word Embeddings from Theory to Code

Transformers is a deep learning model architecture introduced in the paper “Attention is All You Need” by Vaswani et al. It has gained significant popularity for its effectiveness in various natural language processing tasks. The first step in traini...

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SSANJAlsanjaimlblogs.comDec 16, 2022 · 5 min read

Logistic Regression Learn from scratch and also implement using Scikit learn library

In this article series so far we saw only the Regression machine learning algorithm but in this article, we will see the classification algorithm and how it works. In the first article, I shared about various types of machine learning and also shared...