What does Bidirectional LSTM Neural Networks has to do with Top Quarks?
Author(s): Riccardo Di Sipio Originally published on Towards AI. And how it turned out that looking at a sequence of vectors in four dimensions from two opposite sides was the key to solve a decades-old problem In a recent paper Bidirectional Long …
Introduction to Deep Learning Part 2: RNNs and LTSM
Author(s): Koza Kurumlu Originally published on Towards AI. Welcome to Part 2 of my Introduction to Deep Learning series. In the last article, we covered the perceptron, neural networks, and how to train them. In this blog post, we will introduce different …
Unlocking the Power of Recurrent Neural Networks: A Beginner’s Guide
Author(s): Gaurav Nair Originally published on Towards AI. This blog covers a beginner-level introduction to Recurrent Neural Networks, forward and backpropagation through time, and its implementation in Python using NumPy. Introduction With the advancement of Artificial Intelligence (AI) and its practical applications …
Create Your Own Harry Potter Short Story Using RNNs and TensorFlow
Author(s): Amisha Jodhani Originally published on Towards AI. What is an RNN? Photo by Rae Tian on Unsplash Still, waiting for your Hogwarts letter? Want to enjoy the feast in the Great Hall? Explore the secret passages in Hogwarts?Buy your first wand …
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 …
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 …
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