Deep Learning News

AI learns to talk naturally with Google’s Tacotron 2

Google has been one of the leading forces in the area of text-to-speech (TTS) conversions. The company has further leaped…

6 years ago

How to Install Keras on Docker and Cloud ML

[box type="note" align="" class="" width=""]The following extract is taken from the book Deep Learning with Keras, written by Antonio Gulli…

6 years ago

Behind the scenes: Deep learning evolution and core concepts

[box type="note" align="" class="" width=""]This article is an excerpt from a book by Kuntal Ganguly titled Learning Generative Adversarial Networks.…

6 years ago

Deep Learning Algorithms: How to classify Irises using multi-layer perceptrons

[box type="note" align="" class="" width=""]This article is an excerpt taken from the book Big Data Analytics with Java by Rajat…

6 years ago

NIPS 2017 Special: A deep dive into Deep Bayesian and Bayesian Deep Learning with Yee Whye Teh

Yee Whye Teh is a professor at the department of Statistics of the University of Oxford and also a research…

6 years ago

Why training Generative Adversarial Network (GAN) Model is no piece of cake

[box type="note" align="" class="" width=""]This article is an excerpt from a book by Kuntal Ganguly titled Learning Generative Adversarial Networks.…

6 years ago

NIPS 2017 Special: 6 Key Challenges in Deep Learning for Robotics by Pieter Abbeel

Pieter Abbeel is a professor at UC Berkeley and a former Research Scientist at OpenAI. His current research focuses on…

6 years ago

CapsNet: Are Capsule networks the antidote for CNNs kryptonite?

Convolutional Neural networks (CNNs), are a group from the neural network family that has manifested in areas such as Image…

6 years ago

3 simple steps to convert mathematical formula to a model

[box type="note" align="" class="" width=""]The following is an excerpt from the book Scala for Machine Learning, Second Edition, written by…

6 years ago

5 reasons to learn Generative Adversarial Networks (GANs) in 2018

Generative Adversarial Networks (GANs) are a prominent branch of Machine learning research today. As deep neural networks require a lot…

6 years ago