With increased digitization comes the need for infrastructural stability and safety. That’s where TensorFlow can provide maximum returns, especially in the road safety domain. On-road traffic accidents can be minimized with greater efficiencies in overall traffic management. There is also greater control and oversight when dealing with multiple vehicles across various roads.…Continue
Added by Amit Dua on March 28, 2019 at 12:07am — No Comments
By Antonio Gulli, Amita Kapoor
Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x
In this book, you will learn how to efficiently use TensorFlow, Google's open…Continue
The second edition (fully revised, extended, and updated) of Machine Learning Algorithms has been published (Packt).
From the back cover:
Machine learning has gained tremendous popularity for its…Continue
Added by Giuseppe Bonaccorso on September 2, 2018 at 7:18am — No Comments
Recurrent Neural Nets (RNN) detect features in sequential data (e.g. time-series data). Examples of applications which can be made using RNN’s are anomaly detection in time-series data, classification of ECG and …Continue
Added by Ahmet Taspinar on July 5, 2018 at 11:48am — No Comments
From the back cover:
Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more…Continue
R Deep Learning Essentials
By Joshua F. Wiley
Get everything you need to know to enter the world of deep learning when it comes to R with this book. Get started from the packages you need to have for your side,…Continue
Added by Packt Publishing on May 15, 2018 at 10:00pm — No Comments
In a previous blog post we have seen how to build Convolutional Neural Networks (CNN) in Tensorflow, by building various CNN architectures (like LeNet5, AlexNet, VGGNet-16) from scratch and training them on the MNIST, CIFAR-10 and Oxflower17 datasets.
It starts to get interesting when you start thinking about the practical applications of CNN and other Deep Learning methods. If you have been following the latest technical developments you probably know that CNN’s are…Continue
Added by Ahmet Taspinar on December 4, 2017 at 5:00am — No Comments
Michael Li is founder and CEO at The Data Incubator. The company offers curriculum based on feedback from corporate and government partners about the technologies they are using and learning, for masters and PhDs.
Below is a ranking of 23 open-source deep learning libraries that are useful for Data Science, based on Github and Stack Overflow activity, as well as Google search results. The…Continue
Added by Michael Li on October 17, 2017 at 12:00pm — No Comments
In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from scratch, using tensorflow. Later on we can use this knowledge as a building block to make interesting Deep Learning applications.
The contents of this blog-post is as follows:
Added by Ahmet Taspinar on August 15, 2017 at 4:00am — No Comments