Heres how deep learning neural networks are designed In the world of machine learning deep learning neural networks (DLNN) is the fastest growing field. @tachyeonz

Sweet and Spicy Bacon Wrapped Chicken Tenders

In the world of machine learning, deep learning neural networks (DLNN) is the fastest growing field. World Scientific's latest book "Deep Learning Neural Networks: Design and Case Studies" shows how DLNN can be a powerful computational tool f.

Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks — Medium

Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks

Machine Learning is Fun! Part Deep Learning and Convolutional Neural Networks — Medium

Most Active Data Scientists, Free Books, Notebooks & Tutorials on Github

This article comprises of free books, ipython notebooks, tutorials on github. This is useful for beginners in machine learning, data science

CS231n Convolutional Neural Networks for Visual Recognition

Course materials and notes for Stanford class Convolutional Neural Networks for Visual Recognition.

The Unreasonable Effectiveness of Recurrent Neural Networks | Open Data Science

There's something magical about Recurrent Neural Networks (RNNs). I still remember when I trained my first recurrent network for Image Captioning.

[1312.6114] Auto-Encoding Variational Bayes

[1312.6114] Auto-Encoding Variational Bayes

[1511.02386] Hierarchical Variational Models

[1511.02386] Hierarchical Variational Models

Become an OpenCV guru

Practical Python and OpenCV: An Introductory, Example Driven Guide to Image Processing and Computer Vision

[1508.01084] Deep Convolutional Networks are Hierarchical Kernel Machines

Deep Convolutional Networks are Hierarchical Kernel Machines

Eric Jang: A Beginner's Guide to Variational Methods: Mean-Field Approximation

Variational Bayeisan (VB) Methods are a family of techniques that are very popular in statistical Machine Learning. VB methods allow us to r.

Variational Autoencoders from two perspectives: deep learning and graphical models.

Tutorial - What is a variational autoencoder?

LSTMVis - Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

more on: lstm.

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