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Bugger! Detecting Lane Lines: An Overview of Lane Detection Techniques
If you’ve ever been behind the wheel of a car, you know that one of the most fundamental aspects of safe driving is staying in your lane. Lane markings guide vehicles and maintain order on the roads, preventing accidents. In the realm of autonomous vehicles and advanced driver-assistance systems (ADAS), the task of identifying and…
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Normalising Data in Traffic Sign Classifier: An Essential Preprocessing Step
In the realm of autonomous driving, the ability of a vehicle to correctly identify and respond to traffic signs is of paramount importance. This task is typically accomplished with the aid of machine learning models, specifically convolutional neural networks (CNNs), that are trained to classify traffic signs. However, before these models can be trained effectively,…
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Comparing Model Performance: Including Max Pooling and Dropout Layers in Deep Learning Networks
Deep Learning Networks have taken the world by storm, thanks to their unparalleled ability to make sense of complex, high-dimensional data. However, designing an optimal neural network architecture is no mean feat. One of the critical decisions is to determine what type of layers to include in the network. Two popular types of layers commonly…
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Converting Jupyter Notebooks to PDFs: Debugging pdflatex Errors
Jupyter Notebooks provide an interactive computing environment for a wide variety of languages, including Python, R, Julia, and Scala. They are widely used in scientific computing, data analysis, machine learning, and artificial intelligence for experimenting, visualizing data, and documenting findings. Often, you may find it necessary to convert a Jupyter notebook into a PDF format,…
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AlphaGo Zero: An Unveiling of the Pioneering Algorithm
AlphaGo Zero, an initiative of DeepMind, part of the Google conglomerate, marks a revolutionary milestone in the field of Artificial Intelligence (AI) and game theory. Unlike its predecessor, AlphaGo, which learnt to play the game of Go by studying a vast number of professional human games, AlphaGo Zero developed its Go playing abilities starting from…
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Unleashing the Power of Pickle: Saving and Loading Variables in Python
In the vast, complex world of programming, sometimes, simplicity is key. Python, one of the most popular programming languages, offers a plethora of built-in modules that help simplify complex tasks. One such module is pickle. The pickle module is Python’s solution to storing and retrieving variable values for later use, allowing you to serialize and…
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Automating Your Tasks: Harnessing the Power of Crontab to Run Scripts
In an era where efficiency and automation reign supreme, it’s essential to familiarize ourselves with tools that can streamline our workflows. One such powerful tool available to Unix and Linux users is Crontab. It’s a time-based job scheduling service that can automate tasks like running scripts at specific intervals. This means you can set up…
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LSTMs for Time Series Analysis in PyTorch
Time Series Analysis, an integral part of data analysis, helps us understand patterns and trends embedded within sequential data over a specific time interval. Its relevance spans various industries such as finance, health, transportation, etc. Python’s PyTorch, a deep learning library, can efficiently analyze such data. In this article, we will take a deep dive…
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How Python Implements Dictionaries: An In-Depth Look
A dictionary in Python is an unordered collection of data that uses a key-value pair system for storage and retrieval. Dictionaries are one of Python’s most powerful data structures, and their versatility can be attributed to their unique implementation. This article delves into the under-the-hood implementation of Python dictionaries, demystifying its working, performance characteristics, and…
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Exploring TensorFlow Code for a Multilayer Perceptron: A Deep Dive
Deep Learning has revolutionized many domains, and TensorFlow has emerged as one of the leading libraries facilitating this revolution. Developed by Google, TensorFlow provides a comprehensive and flexible platform for building and deploying machine learning models. In this post, we will explore how to implement a fundamental building block of neural networks, a Multilayer Perceptron…