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Your First Deep Dive into Neural Networks: A Beginner's Guide

Your First Deep Dive into Neural Networks: A Beginner's Guide

Understand the core concepts of Deep Neural Networks.Learn its major components and magic behind how it learns.

7 min read
Teaching an AI to Think: A Beginner's Guide to Reinforcement Learning

Teaching an AI to Think: A Beginner's Guide to Reinforcement Learning

A beginner's guide to Reinforcement Learning, focusing on the Q-Learning algorithm. The post details how to build and update a Q-Table, balancing exploration and exploitation to teach an agent through trial and error.

5 min read
Beyond Static Data: An Introduction to Recurrent Neural Networks (RNNs)

Beyond Static Data: An Introduction to Recurrent Neural Networks (RNNs)

A hands-on tutorial for building a text-generating AI using a Recurrent Neural Network (RNN). The guide covers everything from encoding the text and creating training sequences to building, training, and finally using the model to generate new, original text in a similar style.

4 min read
Supercharge Your Image Classifier: An Intro to Transfer Learning

Supercharge Your Image Classifier: An Intro to Transfer Learning

A step-by-step tutorial on using transfer learning to build a highly accurate image classifier. It demonstrates how to load a pre-trained model (MobileNet V2), freeze its layers to preserve its learned knowledge, and then add and train a new custom classifier on top.

3 min read
Building Your First Image Classifier: A Deep Dive into CNNs

Building Your First Image Classifier: A Deep Dive into CNNs

A practical tutorial on building a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. Walk through the entire workflow, from data preparation and model architecture design to training and evaluation.

4 min read
From Pixels to Predictions: Building Your First Fashion Classifier with Keras

From Pixels to Predictions: Building Your First Fashion Classifier with Keras

A step-by-step walkthrough guide to create your first image classification model.

5 min read
Chat with Your Documents: How RAG Connects LLMs to Your Private Data

Chat with Your Documents: How RAG Connects LLMs to Your Private Data

Explanation of what Retrieval-Augmented Generation (RAG) is, positioning it as a cost-effective way to connect large language models to private, up-to-date information.

5 min read
MCP Servers: How to Give Your AI "Hands" to Interact With Your World

MCP Servers: How to Give Your AI "Hands" to Interact With Your World

This guide explains what MCP servers are, how to use them to connect your AI to apps like Obsidian and YouTube, and even how to build your own.

6 min read