FeedFlo

The wait is over! After a very exciting competition throughout this past year, the results for the 2023 Startups of the Year, North America are here!

Startups of The Year 2023 Winners: North America 

Create a deep learning framework from scratch! 

How to Build Feedforward Neural Networks: A Step-by-Step Guide 

Building a Feedforward Neural Network from Scratch in Python

Feedforward neural networks are also known as <strong>Multi-layered Network of Neurons</strong> (MLN). These networks of models are called feedforward because the information only travels forward in the neural network, through the input nodes then through the hidden layers (single or many layers) and finally through the output nodes. In MLN there are no feedback connections such that the output of the network is fed back into itself. These networks are represented by a combination of many simpler models(sigmoid neurons).

Deep Learning: Feedforward Neural Networks Explained

Multimodal hyper-embeddings enable strong cross-task transfer; tiny tuned modules match or beat full fine-tunes on unseen domains.

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

ANNs are inspired by brain function but fall far short of biological complexity, raising questions about their ability to mimic consciousness or cognition.

Are We Building Brain-Inspired or Just Brain-Imitating AI? The Great ANN Debate

A new summarization method pinpoints critical movie scenes for faster, more effective script-to-summary generation using AI.

Smart Summaries: Teaching AI to Pick Key Scenes from Scripts

Explore a novel self-explaining AI framework improving concept fidelity and interoperability for interpretable, domain-invariant deep neural network decisions.

Enhancing AI Interpretability: A Guide to Self-Explaining Concept Architectures

Neural networks can approximate multi-body ODEs in dynamics. Learn key concepts, normalization techniques, and challenges in deep learning-based solutions.

Neural Networks in Dynamics: Approximating Multi-Body ODEs with Deep Learning

Transformers explained: The secret technology behind ChatGPT and how it’s reshaping AI chatbots worldwide.


Inside Transformers: The Hidden Tech Behind LLM's and Chatbots like ChatGPT 

SPDNet mimics the conventional densely connected feedforward network, consisting of three basic building blocks

Basic Layers In SPDNET, TSMNET, and Statistical Results of Scaling in the LieBN

Explore multi-group attention, memory IO costs, and FLOPs in AI models. Learn how incremental decoding and context encoding impact AI performance.

FEEDFLO

feedflo.com

10 emps

Since 2020

FEEDFLO

EVERGREEN INDEX #9307

FeedFlo's stories on HackerNoon

Startups of The Year 2023 Winners: North America

How to Build Feedforward Neural Networks: A Step-by-Step Guide

Building a Feedforward Neural Network from Scratch in Python

Deep Learning: Feedforward Neural Networks Explained

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

Are We Building Brain-Inspired or Just Brain-Imitating AI? The Great ANN Debate

Smart Summaries: Teaching AI to Pick Key Scenes from Scripts

Enhancing AI Interpretability: A Guide to Self-Explaining Concept Architectures

Neural Networks in Dynamics: Approximating Multi-Body ODEs with Deep Learning

Inside Transformers: The Hidden Tech Behind LLM's and Chatbots like ChatGPT

Basic Layers In SPDNET, TSMNET, and Statistical Results of Scaling in the LieBN

Understanding Multi-Group Attention in AI Models

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FEEDFLO

feedflo.com

10 emps

Since 2020

FEEDFLO

EVERGREEN INDEX #9307

FeedFlo's stories on HackerNoon

Startups of The Year 2023 Winners: North America

How to Build Feedforward Neural Networks: A Step-by-Step Guide

Building a Feedforward Neural Network from Scratch in Python

Deep Learning: Feedforward Neural Networks Explained

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

Are We Building Brain-Inspired or Just Brain-Imitating AI? The Great ANN Debate

Smart Summaries: Teaching AI to Pick Key Scenes from Scripts

Enhancing AI Interpretability: A Guide to Self-Explaining Concept Architectures

Neural Networks in Dynamics: Approximating Multi-Body ODEs with Deep Learning

Inside Transformers: The Hidden Tech Behind LLM's and Chatbots like ChatGPT

Basic Layers In SPDNET, TSMNET, and Statistical Results of Scaling in the LieBN

Understanding Multi-Group Attention in AI Models

FeedFlo's Related Companies

1973

171.2B

1988

164.4B

1949

114.7B

1988

31.6B

2022

23.1B

1967

18.1B

-1%

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FeedFlo WIKI

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