Baby Steps to TensorFlow
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Tutorial on Creating a Simple TensorFlow Model U+007C Towards AI Training your first Tensorflow based Neural Network model for Celsius to Fahrenheit conversion TensorFlow is an open-source machine learning library for research and …
AI & Ethics — Where Do We Go From Here?
Author(s): Ryan Lynch Originally published on Towards AI. AI & Ethics, Into the Future U+007C Towards AI The topic of ethics comes up a lot when we talk about Artificial Intelligence. “How do we teach an AI to make ethical decisions?”, “Who …
Unified Language Model Pre-training for Natural Language Understanding and Generation
Author(s): Edward Ma Originally published on Towards AI. Using UNILM to tackle natural language understanding (NLU) and natural language generation (NLG) Photo by Louis Hansel on Unsplash Recent state-of-the-art NLP pre-trained models also use a language model to learn contextualized text representation. …
Techniques in Self-Attention Generative Adversarial Networks
Author(s): Sherwin Chen Originally published on Towards AI. Self Attention GAN (SAGAN) U+007C Towards AI Discussion about different approaches of SAGAN like spectral normalization, conditional batch normalization, etc. Image generated by my implementation of SAGAN on celebA dataset after 120k iterations Introduction …
Cross-lingual Language Model
Author(s): Edward Ma Originally published on Towards AI. Discussing XLMs and unsupervised cross-lingual word embedding by multilingual neural language models Photo by Edward Ma on Unsplash A pre-trained model is proven to improve the downstream problem. Lample and Conneau propose two new …
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 …
Unlock the potential
Author(s): Maxime Pruvost Originally published on Towards AI. Data Accessibility Credit: Frank V. Technologies powered by AI are being applied to some of the world’s most complex human-development issues. AI has considerable potential to help humans. Today we mostly hear about how …
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 …
References
Author(s): Joseph Reddy Originally published on Towards AI. Machine Learning, Python End to End Model of Data Analysis & Prediction Using Python on SAP HANA Table Data This blog helps to connect with SAP HANA DB (Version 1.0 SPS12) then extracts the …
Welcome to the Augmented Age
Author(s): Alex Bates Originally published on Towards AI. The next economic revolution is a revolution of the mind. We’ve had these revolutions before. The invention of agriculture more than 10,000 years ago set a new benchmark for modernity. The invention of steam …
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 …
The Basics of Recurrent Neural Networks (RNNs)
Author(s): Ben Khuong Originally published on Towards AI. Top highlight Machine Learning Table of contents What are RNNs used for? What are RNNs and how do they work? A trivial example — forward propagation, backpropagation through time One major problem: vanishing gradients …
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 …
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