dev-lang
4 views | +0 today
Follow
Your new post is loading...
Your new post is loading...
Rescooped by Fritz Lee from Deep_In_Depth: Deep Learning, ML & DS
Scoop.it!

Another Twitter sentiment analysis with Python — Part 9 (Neural Networks with Tfidf vectors using…

Another Twitter sentiment analysis with Python — Part 9 (Neural Networks with Tfidf vectors using… | dev-lang | Scoop.it
In the previous post, I took a detour of implementing dimensionality reduction before I try neural network modelling. In this post, I will implement neural network first with the Tfidf vectors of 100,000 features including up to trigram.

*In addition to short code blocks I will attach, you can find the link for the whole Jupyter Notebook at the end of this post.

Artificial Neural Network
My first idea was, if logistic regression is the best performing classifier, then this idea can be extended to neural networks. In terms of its structure, logistic regression can be thought as a neural network with no hidden layer, and just one output node. You can see this relationship more clearly from the pictures below.


I will not go through the details of how neural networks work, but if you want to know more in detail, you can take a look at the post I wrote previously on implementing a neural network from scratch with Python. But for this post, I won’t implement it from scratch but use a library called Keras. Keras is more of a wrapper, which can be run on top of other libraries such as Theano or TensorFlow. It is one of the most easy-to-use libraries with intuitive syntax yet powerful. If you are a newbie to neural network modelling as myself, I think Keras is a good place to start.

Via Eric Feuilleaubois
more...
No comment yet.
Rescooped by Fritz Lee from Deep_In_Depth: Deep Learning, ML & DS
Scoop.it!

GitHub - jaesik817 - Tensorflow Implementation of Visual Interaction Networks

GitHub - jaesik817 - Tensorflow Implementation of Visual Interaction Networks | dev-lang | Scoop.it
visual-interaction-networks_tensorflow - Tensorflow Implementation of Visual Interaction Networks

Via Eric Feuilleaubois
more...
No comment yet.
Scooped by Fritz Lee
Scoop.it!

Quantitative Economics — quant-econ 1 documentation

RT @ds_ldn: Quant Economic Modelling with Python http://t.co/RZyOw1JWoY
more...
No comment yet.
Scooped by Fritz Lee
Scoop.it!

Instagram

This view never gets old can anyone guess where? #arlington #architecture #milliondollaragent #dcmll
john_rebolledo's photo on Instagram (This view never gets old can anyone guess where?
more...
No comment yet.
Rescooped by Fritz Lee from Cloud & Bigdata Watching
Scoop.it!

Hadoop on the Cloud

2013 Webinar series Hadoop on the Cloud with Joe Ziegler & Abhishek Sinha.

Via Wonil Lee Ph.D.
more...
No comment yet.
Rescooped by Fritz Lee from Deep_In_Depth: Deep Learning, ML & DS
Scoop.it!

Hybrid computing using a neural network with dynamic external memory

Hybrid computing using a neural network with dynamic external memory | dev-lang | Scoop.it
Artificial neural networks are remarkably adept at sensory processing, sequence learning and reinforcement learning, but are limited in their ability to represent variables and data structures and to store data over long timescales, owing to the lack of an external memory. Here we introduce a machine learning model called a differentiable neural computer (DNC), which consists of a neural network that can read from and write to an external memory matrix, analogous to the random-access memory in a conventional computer.

Via Eric Feuilleaubois
more...
No comment yet.
Scooped by Fritz Lee
Scoop.it!

Java Mission Control

Introduction to the Oracle Java Mission Control that was released in 7u40. (#Java #Mission #Control - http://t.co/IAyX53eC4p)
more...
No comment yet.
Scooped by Fritz Lee
Scoop.it!

Apache Tez: A New Chapter in Hadoop Data Processing - Hortonworks

Apache Tez: A New Chapter in Hadoop Data Processing - Hortonworks | dev-lang | Scoop.it
First in a series of posts around Apache Tez, its architecture and performance benefits for MapReduce in Hadoop.
more...
No comment yet.
Rescooped by Fritz Lee from JavaScript for Line of Business Applications
Scoop.it!

JavaScript subclassing using Object.create

JavaScript subclassing using Object.create | dev-lang | Scoop.it

The trickiness of this pattern can help us understand the impetus for one of JavaScript’s newer features, Object.create. When you first encounter this method, you might wonder why JavaScript needs another way to create objects, when it already has the object literal syntax and constructor functions? Where Object.create differs from those options is that lets you provide, as the first argument to the method, an object that will become the new object’s prototype.


Via Jan Hesse
more...
No comment yet.