Recurrent Neural Networks with Python Quick Start Guide
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Recurrent Neural Networks with Python Quick Start Guide by Simeon Kostadinov
Developers struggle to find an easy to follow learning resource for implementing Recurrent Neural Network(RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve the results. This book will teach you ...
Simeon Kostadinoff works for a startup called Speechify which aims to help people go through their readings faster by converting any text into speech. Simeon is Machine Learning enthusiast who writes a blog and works on various projects on the side. He enjoys reading different research papers and implement some of them in code. He was ranked number 1 in mathematics during his senior year of high school and thus he has deep passion about understanding how the deep learning models work under the hood. His specific knowledge in Recurrent Neural Networks comes from several courses that he has taken at Stanford University and University of Birmingham. They helped in understanding how to apply his theoretical knowledge into practice and build powerful models. In addition, he recently became a Stanford Scholar Initiative which includes working in a team of Machine Learning researchers on a specific deep learning research paper.
| SKU | Unavailable |
| ISBN 13 | 9781789132335 |
| ISBN 10 | 1789132339 |
| Title | Recurrent Neural Networks with Python Quick Start Guide |
| Author | Simeon Kostadinov |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Packt Publishing Limited |
| Year published | 2018-11-30 |
| Number of pages | 122 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |