50+ Python 3 Tips & Tricks
Author(s): Eyal Trabelsi Originally published on Towards AI. Programming, Python These Python Gems Will Make Your Code Beautiful and Elegant Here is a list of python tips and tricks to help you write an elegant Python 3 code! This article is divided …
50+ Python 3 Tips & Tricks
Author(s): Eyal Trabelsi Here is a list of python tips and tricks to help you write an elegant Python 3 code! This article is divided into different kinds of tricks: Python iterable tricks. Python comprehension tricks. Python unpacking tricks. Python itertools tricks. Python collections tricks. …
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 …
Getting the data
Author(s): Avishek Nag Originally published on Towards AI. Comparative study of different vector space models & text classification techniques like XGBoost and others In this article, we will discuss different text classification techniques to solve the BBC new article categorization problem. We …
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 …
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 …
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?
From a global point of view, the country leaders progressing in AI are the US and China, yet what about the next Asian tiger? Japan is struggling with implementing AI, machine learning, and deep learning technology advancements to the business world. Which …
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 …
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