Introduction
Author(s): Sherwin Chen Originally published on Towards AI. A climbing snail trying to see the outside world U+007C Source: Pinterest Diving Into SNAIL U+007C Towards AI A Simple Neural Attentive Meta-Learner — SNAIL Traditional reinforcement learning algorithms train an agent to solve …
Attention Is All You Need — Transformer
Author(s): Sherwin Chen Originally published on Towards AI. Positional Encoding Top highlight from https://wall.alphacoders.com/big.php?i=845641 Recurrent Neural Networks(RNNs), Long Short-Term Memory(LSTM) and Gated Recurrent Units(GRU) in particular, have been firmly established as state-of-the-art approaches in sequence modeling and transduction problems. Such models typically …
Introduction to the Architecture of Recurrent Neural Networks (RNNs)
Author(s): Manish Nayak Originally published on Towards AI. RNNs Architecture U+007C Towards AI Introduction In my previous post, I explain different ways of representing text as a vector. you can read about Word2Vec, Doc2Vec and you can also find a jupyter notebook …
Comparing Neural Network Architectures
Author(s): Yan Gobeil Originally published on Towards AI. Comparing NN architectures through a language classifier, using Google Colab After reading François Chollet’s wonderful book Deep Learning with Python I became curious about the different neural network architectures and which one is the …
Why is the Progression of Japan’s AI Slow?
Author(s): Stacy S. Originally published on Towards AI. AI Progress in Japan U+007C Towards AI The die is cast… AI and deep learning are not just “buzz words.” These technologies have been coming to cause an impact in the real world, especially …
Introduction
Author(s): Manish Nayak Originally published on Towards AI. Machine Learning An Intuitive Introduction of Word2Vec by Building a Word2Vec From Scratch Understanding Word2Vec, and it’s advantages In this article, I will try to explain Word2Vec vector representation, an unsupervised model that learns …
Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Author(s): Rafay Khan Originally published on Towards AI. Top highlight Machine Learning, Programming, Python Update: I am overwhelmed by the positive feedback this writeup has received, especially by people in the AI community I look up to. I am also grateful to …
Artificial Intelligence
Author(s): Dhairya Kumar Originally published on Towards AI. Intro to Machine Learning, No Math Involved U+007C Towards AI Demystifying Machine Learning A gentle introduction to the scientific field of machine learning with no math involved Machine learning is one of the most …
Introduction
Author(s): Manish Nayak Originally published on Towards AI. An Introduction to Pix2Pix cGANs U+007C Towards AI Pix2Pix Network, An Image-To-Image Translation Using Conditional GANs (cGANs) Pix2Pix network is basically a Conditional GANs (cGAN) that learn the mapping from an input image to …
Face Aging Using Conditional GANs
Author(s): Manish Nayak Originally published on Towards AI. Age-cGANs Explained U+007C Towards AI An Introduction to Age-cGANs Introduction Conditional GANs (CGANs) are extensions of the GANs model. You can read about Conditional GANs in my previous post here. In this post, I …
Importance of Choosing the Correct Hyper-parameters While Defining a Model
Author(s): Saikat Biswas Originally published on Towards AI. Source: Unsplash Hyper-parameter Optimization U+007C Towards AI Often considered the trickiest part of optimizing a machine learning algorithm. Correct hyperparameter tuning can save a lot of time and help deploy the ML model faster …
Real-time Vehicle Detection with 50 HD Frames/sec on an AMD GPU
Author(s): Rohit Sharma Originally published on Towards AI. Real-time Vehicle Detection U+007C Towards AI Real-time Vehicle Detection with 50 frames/sec of HD resolution What is Vehicle detection? Vehicle detection is a part of traffic surveillance methods in a live traffic feed that …
Limitations of Deep Learning
Author(s): Roberto Iriondo Originally published on Towards AI. Artificial intelligence has achieved incredible feats thanks to deep learning, however, it still falls short of human capabilities. Top highlight February 12, 2019, by Roberto Iriondo — last updated: April 7, 2019 This article …
Where the randomness comes
Author(s): Jun Wang Originally published on Towards AI. Word Embedding and Language Modeling U+007C Towards AI How to Get Deterministic word2vec/doc2vec/paragraph Vectors OK, welcome to our Word Embedding Series. This post is the first story of the series. You may find this …
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