author stringlengths 3 31 | claps stringlengths 1 5 | reading_time int64 2 31 | link stringlengths 92 277 | title stringlengths 24 104 | text stringlengths 1.35k 44.5k |
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Milo Spencer-Harper | 2.2K | 3 | https://medium.com/technology-invention-and-more/how-to-build-a-multi-layered-neural-network-in-python-53ec3d1d326a?source=tag_archive---------1---------------- | How to build a multi-layered neural network in Python | In my last blog post, thanks to an excellent blog post by Andrew Trask, I learned how to build a neural network for the first time. It was super simple. 9 lines of Python code modelling the behaviour of a single neuron.
But what if we are faced with a more difficult problem? Can you guess what the ‘?’ should be?
The tr... |
Josh | 462 | 9 | https://medium.com/technology-invention-and-more/everything-you-need-to-know-about-artificial-neural-networks-57fac18245a1?source=tag_archive---------3---------------- | Everything You Need to Know About Artificial Neural Networks | The year 2015 was a monumental year in the field of artificial intelligence. Not only are computers learning more and learning faster, but we’re learning more about how to improve their systems. Everything is starting to align, and because of it we’re seeing strides we’ve never thought possible until now. We have progr... |
Milo Spencer-Harper | 317 | 6 | https://medium.com/deep-learning-101/how-to-create-a-mind-the-secret-of-human-thought-revealed-6211bbdb092a?source=tag_archive---------4---------------- | How to create a mind: The secret of human thought revealed | In my quest to learn about AI, I read ‘How to create a mind: The secret of human thought revealed’ by Ray Kurzweil. It was incredibly exciting and I’m going to share what I’ve learned.
If I was going to summarise the book in one sentence, I could do no better than Kurzweil’s own words:
Kurzweil argues convincingly that... |
Karl N. | 10 | 7 | https://gab41.lab41.org/taking-keras-to-the-zoo-9a76243152cb?source=tag_archive---------5---------------- | Taking Keras to the Zoo – Gab41 | If you follow any of the popular blogs like Google’s research, FastML, Smola’s Adventures in Data Land, or one of the indie-pop ones like Edwin Chen’s blog, you’ve probably also used ModelZoo. Actually, if you’re like our boss, you affectionately call it “The Zoo”. (Actually x 2, if you have interesting blogs that you ... |
Milo Spencer-Harper | 42 | 3 | https://medium.com/@miloharper/thanks-so-much-for-your-response-jared-really-glad-to-hear-you-enjoyed-reading-it-9d73caa469ff?source=tag_archive---------6---------------- | Thanks so much for your response Jared. Really glad you enjoyed reading it. | Thanks so much for your response Jared. Really glad you enjoyed reading it.
Could you go into more detail about finding the error on layer 1?
That’s a really great question! I’ve changed this response quite a bit as I wrote it, because your question helped me improve my own understanding. It sounds like you know quite ... |
Nikolai Savas | 50 | 10 | https://medium.com/@savas/craig-using-neural-networks-to-learn-mario-a76036b639ad?source=tag_archive---------7---------------- | CrAIg: Using Neural Networks to learn Mario – Nikolai Savas – Medium | Joe Crozier and I recently came back from YHack, a 36-hour, 1500 person hackathon held by Yale University. This is our second year in a row attending, and for the second time we managed to place in the top 8!
Our project, named “crAIg”, is a self-teaching algorithm that learns to play Super Mario Bros. for the Nintendo... |
Dr Ben Medlock | 32 | 4 | https://medium.com/@Ben_Medlock/why-turing-s-legacy-demands-a-smarter-keyboard-9e7324463306?source=tag_archive---------8---------------- | Why Turing’s legacy demands a smarter keyboard – Dr Ben Medlock – Medium | Why Turing’s legacy demands a smarter keyboard
When you start a company, you dream of walking in the footsteps of your heroes. For those working in artificial intelligence, the British computer scientist and father of the field Alan Turing always comes to mind. I thought of him when I did my PhD, when I co-founded an A... |
Nieves Ábalos | 18 | 7 | https://labs.beeva.com/sem%C3%A1ntica-desde-informaci%C3%B3n-desestructurada-90ce87736812?source=tag_archive---------9---------------- | Semántica desde información desestructurada – BEEVA Labs | Detectar patrones es un núcleo importante en el mundo del Procesamiento del Lenguaje Natural. Esta detección de patrones nos permite clasificar documentos, lo que tiene muchas aplicaciones: análisis de sentimiento (sentiment analysis),recuperación de documentos (document retrieval), búsqueda web, filtrado de spam,... |
Arthur Juliani | 9K | 6 | https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0?source=tag_archive---------0---------------- | Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks | For this tutorial in my Reinforcement Learning series, we are going to be exploring a family of RL algorithms called Q-Learning algorithms. These are a little different than the policy-based algorithms that will be looked at in the the following tutorials (Parts 1–3). Instead of starting with a complex and unwieldy dee... |
Andrej Karpathy | 9.2K | 7 | https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b?source=tag_archive---------1---------------- | Yes you should understand backprop – Andrej Karpathy – Medium | When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to include explicit calculations involved in backpropagation on the lowest level. The students had to implement the forward and the backward pass of each layer in raw numpy. Inevitably, some students complain... |
Arthur Juliani | 3.5K | 8 | https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-8-asynchronous-actor-critic-agents-a3c-c88f72a5e9f2?source=tag_archive---------2---------------- | Simple Reinforcement Learning with Tensorflow Part 8: Asynchronous Actor-Critic Agents (A3C) | In this article I want to provide a tutorial on implementing the Asynchronous Advantage Actor-Critic (A3C) algorithm in Tensorflow. We will use it to solve a simple challenge in a 3D Doom environment! With the holidays right around the corner, this will be my final post for the year, and I hope it will serve as a culmi... |
Rohan Kapur | 1K | 30 | https://ayearofai.com/rohan-lenny-1-neural-networks-the-backpropagation-algorithm-explained-abf4609d4f9d?source=tag_archive---------3---------------- | Rohan & Lenny #1: Neural Networks & The Backpropagation Algorithm, Explained | In Rohan’s last post, he talked about evaluating and plugging holes in his knowledge of machine learning thus far. The backpropagation algorithm — the process of training a neural network — was a glaring one for both of us in particular. Together, we embarked on mastering backprop through some great online lectures fro... |
Per Harald Borgen | 1.3K | 7 | https://medium.com/learning-new-stuff/how-to-learn-neural-networks-758b78f2736e?source=tag_archive---------4---------------- | Learning How To Code Neural Networks – Learning New Stuff – Medium | This is the second post in a series of me trying to learn something new over a short period of time. The first time consisted of learning how to do machine learning in a week.
This time I’ve tried to learn neural networks. While I didn’t manage to do it within a week, due to various reasons, I did get a basic understan... |
Shi Yan | 4.4K | 7 | https://medium.com/mlreview/understanding-lstm-and-its-diagrams-37e2f46f1714?source=tag_archive---------5---------------- | Understanding LSTM and its diagrams – ML Review – Medium | I just want to reiterate what’s said here:
I’m not better at explaining LSTM, I want to write this down as a way to remember it myself. I think the above blog post written by Christopher Olah is the best LSTM material you would find. Please visit the original link if you want to learn LSTM. (But I did create some nice ... |
Ross Goodwin | 686 | 23 | https://medium.com/artists-and-machine-intelligence/adventures-in-narrated-reality-6516ff395ba3?source=tag_archive---------6---------------- | Adventures in Narrated Reality – Artists and Machine Intelligence – Medium | By Ross Goodwin
In May 2015, Stanford PhD student Andrej Karpathy wrote a blog post entitled The Unreasonable Effectiveness of Recurrent Neural Networks and released a code repository called Char-RNN. Both received quite a lot of attention from the machine learning community in the months that followed, spurring commen... |
Eric Elliott | 947 | 9 | https://medium.com/javascript-scene/how-to-build-a-neuron-exploring-ai-in-javascript-pt-1-c2726f1f02b2?source=tag_archive---------7---------------- | How to Build a Neuron: Exploring AI in JavaScript Pt 1 | Years ago, I was working on a project that needed to be adaptive. Essentially, the software needed to learn and get better at a frequently repeated task over time.
I’d read about neural networks and some early success people had achieved with them, so I decided to try it out myself. That marked the beginning of a life-... |
Dhruv Parthasarathy | 665 | 11 | https://medium.com/@dhruvp/how-to-write-a-neural-network-to-play-pong-from-scratch-956b57d4f6e0?source=tag_archive---------8---------------- | Write an AI to win at Pong from scratch with Reinforcement Learning | There’s a huge difference between reading about Reinforcement Learning and actually implementing it.
In this post, you’ll implement a Neural Network for Reinforcement Learning and see it learn more and more as it finally becomes good enough to beat the computer in Pong! You can play around with other such Atari games a... |
Waleed Abdulla | 507 | 12 | https://medium.com/@waleedka/traffic-sign-recognition-with-tensorflow-629dffc391a6?source=tag_archive---------9---------------- | Traffic Sign Recognition with TensorFlow – Waleed Abdulla – Medium | This is part 1 of a series about building a deep learning model to recognize traffic signs. It’s intended to be a learning experience, for myself and for anyone else who likes to follow along. There are a lot of resources that cover the theory and math of neural networks, so I’ll focus on the practical aspects instead.... |
Stefan Kojouharov | 14.2K | 7 | https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463?source=tag_archive---------0---------------- | Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data | Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and share the entire collection. To make things more interesting and give context, I added descriptions and/or excerpts for ... |
Avinash Sharma V | 6.9K | 10 | https://medium.com/the-theory-of-everything/understanding-activation-functions-in-neural-networks-9491262884e0?source=tag_archive---------1---------------- | Understanding Activation Functions in Neural Networks | Recently, a colleague of mine asked me a few questions like “why do we have so many activation functions?”, “why is that one works better than the other?”, ”how do we know which one to use?”, “is it hardcore maths?” and so on. So I thought, why not write an article on it for those who are familiar with neural network o... |
Elle O'Brien | 2.3K | 6 | https://towardsdatascience.com/romance-novels-generated-by-artificial-intelligence-1b31d9c872b2?source=tag_archive---------2---------------- | Romance Novels, Generated by Artificial Intelligence | I’ve always been fascinated with romance novels — the kind they sell at the drugstore for a couple of dollars, usually with some attractive, soft-lit couples on the cover. So when I started futzing around with text-generating neural networks a few weeks ago, I developed an urgent curiosity to discover what artificial i... |
Slav Ivanov | 4.4K | 10 | https://blog.slavv.com/37-reasons-why-your-neural-network-is-not-working-4020854bd607?source=tag_archive---------3---------------- | 37 Reasons why your Neural Network is not working – Slav | The network had been training for the last 12 hours. It all looked good: the gradients were flowing and the loss was decreasing. But then came the predictions: all zeroes, all background, nothing detected. “What did I do wrong?” — I asked my computer, who didn’t answer.
Where do you start checking if your model is outp... |
Slav Ivanov | 2.9K | 9 | https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9?source=tag_archive---------4---------------- | Picking a GPU for Deep Learning – Slav | Quite a few people have asked me recently about choosing a GPU for Machine Learning. As it stands, success with Deep Learning heavily dependents on having the right hardware to work with. When I was building my personal Deep Learning box, I reviewed all the GPUs on the market. In this article, I’m going to share my ins... |
gk_ | 1.8K | 6 | https://machinelearnings.co/text-classification-using-neural-networks-f5cd7b8765c6?source=tag_archive---------5---------------- | Text Classification using Neural Networks – Machine Learnings | Understanding how chatbots work is important. A fundamental piece of machinery inside a chat-bot is the text classifier. Let’s look at the inner workings of an artificial neural network (ANN) for text classification.
We’ll use 2 layers of neurons (1 hidden layer) and a “bag of words” approach to organizing our training... |
nafrondel | 1.7K | 5 | https://medium.com/@nafrondel/you-requested-someone-with-a-degree-in-this-holds-up-hand-d4bf18e96ff?source=tag_archive---------6---------------- | You requested someone with a degree in this? *Holds up hand* | You requested someone with a degree in this? *Holds up hand*
So there are two main schools of Artificial Intelligence — Symbolic and non-symbolic.
Symbolic says the best way to make AI is to make an expert AI — e.g. if you want a doctor AI, you feed it medical text books and it answers questions by looking it up in the... |
Neelabh Pant | 2K | 11 | https://blog.statsbot.co/time-series-prediction-using-recurrent-neural-networks-lstms-807fa6ca7f?source=tag_archive---------7---------------- | A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs) | The Statsbot team has already published the article about using time series analysis for anomaly detection. Today, we’d like to discuss time series prediction with a long short-term memory model (LSTMs). We asked a data scientist, Neelabh Pant, to tell you about his experience of forecasting exchange rates using recurr... |
Eugenio Culurciello | 2.2K | 15 | https://towardsdatascience.com/neural-network-architectures-156e5bad51ba?source=tag_archive---------8---------------- | Neural Network Architectures – Towards Data Science | Deep neural networks and Deep Learning are powerful and popular algorithms. And a lot of their success lays in the careful design of the neural network architecture.
I wanted to revisit the history of neural network design in the last few years and in the context of Deep Learning.
For a more in-depth analysis and compa... |
Gary Marcus | 1.3K | 27 | https://medium.com/@GaryMarcus/in-defense-of-skepticism-about-deep-learning-6e8bfd5ae0f1?source=tag_archive---------0---------------- | In defense of skepticism about deep learning – Gary Marcus – Medium | In a recent appraisal of deep learning (Marcus, 2018) I outlined ten challenges for deep learning, and suggested that deep learning by itself, although useful, was unlikely to lead on its own to artificial general intelligence. I suggested instead the deep learning be viewed “not as a universal solvent, but simply as o... |
Sarthak Jain | 3.9K | 10 | https://medium.com/nanonets/how-to-easily-detect-objects-with-deep-learning-on-raspberrypi-225f29635c74?source=tag_archive---------1---------------- | How to easily Detect Objects with Deep Learning on Raspberry Pi | Disclaimer: I’m building nanonets.com to help build ML with less data and no hardware
The raspberry pi is a neat piece of hardware that has captured the hearts of a generation with ~15M devices sold, with hackers building even cooler projects on it. Given the popularity of Deep Learning and the Raspberry Pi Camera we t... |
Favio Vázquez | 3.3K | 14 | https://towardsdatascience.com/a-weird-introduction-to-deep-learning-7828803693b0?source=tag_archive---------2---------------- | A “weird” introduction to Deep Learning – Towards Data Science | There are amazing introductions, courses and blog posts on Deep Learning. I will name some of them in the resources sections, but this is a different kind of introduction.
But why weird? Maybe because it won’t follow the “normal” structure of a Deep Learning post, where you start with the math, then go into the papers,... |
Oleksandr Savsunenko | 5.5K | 4 | https://hackernoon.com/the-new-neural-internet-is-coming-dda85b876adf?source=tag_archive---------3---------------- | The New Neural Internet is Coming – Hacker Noon | How it all began / The Landscape
Think of the typical and well-studied neural networks (such as image classifier) as a left hemisphere of the neural network technology. With this in mind, it is easy to understand what is Generative Adversarial Network. It is a kind of right hemisphere — the one that is claimed to be re... |
Max Pechyonkin | 3.4K | 8 | https://towardsdatascience.com/stochastic-weight-averaging-a-new-way-to-get-state-of-the-art-results-in-deep-learning-c639ccf36a?source=tag_archive---------4---------------- | Stochastic Weight Averaging — a New Way to Get State of the Art Results in Deep Learning | In this article, I will discuss two interesting recent papers that provide an easy way to improve performance of any given neural network by using a smart way to ensemble. They are:
Additional prerequisite reading that will make context of this post much more easy to understand:
Traditional ensembling combines several ... |
Daniel Simmons | 3.4K | 8 | https://itnext.io/you-can-build-a-neural-network-in-javascript-even-if-you-dont-really-understand-neural-networks-e63e12713a3?source=tag_archive---------5---------------- | You can build a neural network in JavaScript even if you don’t really understand neural networks | Click here to share this article on LinkedIn »
(Skip this part if you just want to get on with it...)
I should really start by admitting that I’m no expert in neural networks or machine learning. To be perfectly honest, most of it still completely baffles me. But hopefully that’s encouraging to any fellow non-experts w... |
Eugenio Culurciello | 2.8K | 13 | https://towardsdatascience.com/artificial-intelligence-ai-in-2018-and-beyond-e06f05167f9c?source=tag_archive---------6---------------- | Artificial Intelligence, AI in 2018 and beyond – Towards Data Science | These are my opinions on where deep neural network and machine learning is headed in the larger field of artificial intelligence, and how we can get more and more sophisticated machines that can help us in our daily routines.
Please note that these are not predictions of forecasts, but more a detailed analysis of the t... |
Devin Soni | 5.8K | 4 | https://towardsdatascience.com/spiking-neural-networks-the-next-generation-of-machine-learning-84e167f4eb2b?source=tag_archive---------7---------------- | Spiking Neural Networks, the Next Generation of Machine Learning | Everyone who has been remotely tuned in to recent progress in machine learning has heard of the current 2nd generation artificial neural networks used for machine learning. These are generally fully connected, take in continuous values, and output continuous values. Although they have allowed us to make breakthrough pr... |
Carlos E. Perez | 3.9K | 7 | https://medium.com/intuitionmachine/neurons-are-more-complex-than-what-we-have-imagined-b3dd00a1dcd3?source=tag_archive---------8---------------- | Surprise! Neurons are Now More Complex than We Thought!! | One of the biggest misconceptions around is the idea that Deep Learning (DL) or Artificial Neural Networks (ANN) mimics biological neurons. At best, ANN mimics a cartoonish version of a 1957 model of a neuron. Anyone claiming Deep Learning is biologically inspired is doing so for marketing purposes or has never bother ... |
Nityesh Agarwal | 2.4K | 13 | https://towardsdatascience.com/wth-does-a-neural-network-even-learn-a-newcomers-dilemma-bd8d1bbbed89?source=tag_archive---------9---------------- | “WTH does a neural network even learn??” — a newcomer’s dilemma | I believe, we all have that psychologist/philosopher in our brains that likes to ponder upon how thinking happens.
There.
A simple, clear bird’s eye view of what neural networks learn — they learn “increasingly more complex concepts”.
Doesn’t that feel familiar? Isn’t that how we learn anything at all?
For instance, le... |
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