How Tesla has been Optimizing its Software and Hardware for FSD Capabilities and a Hyper Efficient Robo-Taxi Fleet?
Author(s): Sandeep Aswathnarayana Originally published on Towards AI. Computer Vision, Self Driving Cars FSD Chip Tour, Solving the Vision Problem, Fleet Learning using Data Engine, Object Detection using Vector Space, Sensor Redundancy, Shadow Mode, Robo-Taxi Cost Model, and more. The Long Tail …
Create your Mini-Word-Embedding from Scratch using Pytorch
Author(s): Balakrishnakumar V Originally published on Towards AI. 1. CBOW : Illustration by Author On a lighter note, the embedding of a particular word (In Higher Dimension) is nothing but a vector representation of that word (In Lower Dimension). Where words with …
Power, Limitations, and Use Cases of Gpt-3 From My Tests and Prototype Apps You Can Replicate Right Away
Author(s): LucianoSphere Originally published on Towards AI. Exemplified with smart chatbots that can even listen and talk naturally command programs, or help students as full-time online tutors. And all on the web. Since OpenAI released it now already several months ago, I …
Mastering the Fundamentals: Differences Between Sample, Batch, Iteration, And Epoch
Author(s): Clément Delteil Originally published on Towards AI. A Beginner’s Guide to Mastering the Fundamentals of Machine Learning Photo by Robert Ruggiero on Unsplash When you are new to Machine Learning, it is common to get overwhelmed with information. There are so …
Building a Neural Network with Backpropagation in Excel (No Programming Required!)
Author(s): Angela and Kezhan Shi Originally published on Towards AI. Learning Machine Learning Concepts with Simple Formulas and Functions in Excel Hey there, Excel enthusiasts and machine-learning newbies! Are you ready to dive into the world of neural networks without having to …
Creating Stunning Neural Network Visualizations with ChatGPT and PlotNeuralNet
Author(s): Clément Delteil Originally published on Towards AI. Presenting PlotNeuralNet, a LaTeX / Python package to visualize Neural Networks Visualization of a Fully Convolutional Neural Network architecture (FCN-8) Tired of the usual visualizations for neural networks? Let me introduce PlotNeuralNet by Haris …
Parametric ReLU | SELU | Activation Functions Part 2
Author(s): Shubham Koli Originally published on Towards AI. Parametric ReLU U+007C SELU U+007C Activation Functions Part 2 What is Parametric ReLU ? Rectified Linear Unit (ReLU) is an activation function in neural networks. It is a popular choice among developers and researchers …
Generating Adversaries for CNNs: My Cat Is a Goldfish, so Don’t Tax It.
Author(s): Akhil Theerthala Originally published on Towards AI. Adversarial ML Discover how to fool CNNs with unexpected images, like a cat that’s actually a goldfish! Learn how to generate adversaries for convolutional neural networks (CNNs) with this informative article. AI has become …
Computer Vision and Its Application in Facial Recognition and Object Classification.
Author(s): Raman Rounak Originally published on Towards AI. Author: Rounak Raman Introduction: Vision is the most crucial sense in the human body, allowing us to see, assess, and analyze the environment around us. The majority of information in the world is obtained …
Explainable and Interpretable Models are Important in Machine Learning
Author(s): Suhas Maddali Originally published on Towards AI. Learn to use libraries such as LIME, SHAP and others to determine the workings of black-box machine learning models with examples and illustrations, ensuring that they are safe, fair and have less bias Photo …
Decoding Handwritten Digits: The Fascinating World of Machine Learning
Author(s): Surya Maddula Originally published on Towards AI. Images used in my articles are Properties of the Respective Organisations and are used here solely for Reference, Illustrative and Educational Purposes Only. [Images Source: Google (Aside from some images, in whose case, the …
Exploration of Statistical Language Models
Author(s): Anay Dongre Originally published on Towards AI. Image by author A Statistical Language Model is a powerful tool used in Natural Language Processing that aims to predict the likelihood of a sequence of words in a given language. In simple terms, …
Deep Learning at Rescue: Loan Application Approval
Author(s): Supreet Kaur Originally published on Towards AI. AI can not only automate the credit decision process, it can also make it more efficient and accurate. Machine learning algorithms can be trained on historical loan data to predict the likelihood of …
Generating Adversaries for CNNs: My Cat Is a Goldfish, so Dont Tax It.
Author(s): Akhil Theerthala Originally published on Towards AI. Discover how to fool CNNs with unexpected images, like a cat that’s actually a goldfish! Learn how to generate adversaries for convolutional neural networks (CNNs) with this informative article. AI has become ubiquitous in …
A Comprehensive Introduction to Graph Neural Networks
Author(s): Anay Dongre Originally published on Towards AI. Graph Neural Networks (GNNs) is a type of neural network designed to operate on graph-structured data. In recent years, there has been a significant amount of research in the field of GNNs, and they …
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