AI News, Neural Network Methods for Natural Language Processing

Neural Network Methods for Natural Language Processing

The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words.

The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models.

Machine Learning is Fun Part 6: How to do Speech Recognition with DeepLearning

We are taking a reading thousands of times a second and recording a number representing the height of the sound wave at that point in time.

But for speech recognition, a sampling rate of 16khz (16,000 samples per second) is enough to cover the frequency range of human speech.

Lecture 10: Neural Machine Translation and Models with Attention

Lecture 10 introduces translation, machine translation, and neural machine translation. Google's new NMT is highlighted followed by sequence models with attention as well as sequence model...

Artificial Neural Networks (Part 1) - Classification using Single Layer Perceptron Model

Support Vector Machines Video (Part 1): Support Vector Machine (SVM) Part 2: Non Linear SVM Other Videos on Neural Networks:

TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14

Welcome to part fourteen of the Deep Learning with Neural Networks and TensorFlow tutorials. Today, we're going to be covering TFLearn, which is a high-level/abstraction layer for TensorFlow....

Plain and Simple Estimators

In this episode of AI Adventures, it's time to write some TensorFlow code! We'll build a linear model to recognize different kinds of flowers using a canned estimator. Associated Medium post...

Intro and creating a virtual machine - Google Cloud Python Tutorials p.1

Welcome everyone to a tutorial series on Google Cloud. With Google Cloud, we can do things from running a typical virtual machine, to doing various machine learning tasks like analyzing text,...

Recurrent Neural Network Writes Music and Shakespeare Novels | Two Minute Papers #19

Artificial neural networks are powerful machine learning techniques that can learn to recognize images or paint in the style of Van Gogh. Recurrent neural networks offer a more general model...

How to Learn from Little Data - Intro to Deep Learning #17

One-shot learning! In this last weekly video of the course, i'll explain how memory augmented neural networks can help achieve one-shot classification for a small labeled image dataset. We'll...

Neural Networks & Education: The Art of Learning by Francis T. S. Yu

This book is writing in an unconventional format, it is more like a slide presentation than a book. It is designed to be as simple as possible so that everyone can read it. This book has 15...

Optimizing Forex Strategies With Machine Learning and Neural Networks with TRAIDE

Learn more at: This video will demonstrate a new San Francisco startup that is making it easier to use machine learning algorithms to create trading strategies...