An Overview of Python Deep Learning Frameworks

#ICYMI An Overview of #Python #DeepLearning Frameworks

  • I recently stumbled across an old Data Science Stack Exchange answer of mine on the topic of the “Best Python library for neural networks”, and it struck me how much the Python deep learning ecosystem has evolved over the course of the past 2.5 years.
  • Since Theano aims first and foremost to be a library for symbolic mathematics, Lasagne offers abstractions on top of Theano that make it more suitable for deep learning.
  • Similar to Lasagne, Blocks is a shot at adding a layer of abstraction on top of Theano to facilitate cleaner, simpler, more standardized definitions of deep learning models than writing raw Theano.
  • More recently, the TensorFlow team decided to incorporate support for Keras, the next deep learning library on our list.
  • It’s a loose port of Lua’s Torch library to Python, and is notable because it’s backed by the Facebook Artificial Intelligence Research team (FAIR), and because it’s designed to handle dynamic computation graphs — a feature absent from the likes of Theano, TensorFlow, and derivatives.


Read this concise overview of leading Python deep learning frameworks, including Theano, Lasagne, Blocks, TensorFlow, Keras, MXNet, and PyTorch.

Continue reading “An Overview of Python Deep Learning Frameworks”

An Overview of Python Deep Learning Frameworks

#ICYMI An Overview of #Python #DeepLearning Frameworks

  • I recently stumbled across an old Data Science Stack Exchange answer of mine on the topic of the “Best Python library for neural networks”, and it struck me how much the Python deep learning ecosystem has evolved over the course of the past 2.5 years.
  • Since Theano aims first and foremost to be a library for symbolic mathematics, Lasagne offers abstractions on top of Theano that make it more suitable for deep learning.
  • Similar to Lasagne, Blocks is a shot at adding a layer of abstraction on top of Theano to facilitate cleaner, simpler, more standardized definitions of deep learning models than writing raw Theano.
  • More recently, the TensorFlow team decided to incorporate support for Keras, the next deep learning library on our list.
  • It’s a loose port of Lua’s Torch library to Python, and is notable because it’s backed by the Facebook Artificial Intelligence Research team (FAIR), and because it’s designed to handle dynamic computation graphs — a feature absent from the likes of Theano, TensorFlow, and derivatives.


Read this concise overview of leading Python deep learning frameworks, including Theano, Lasagne, Blocks, TensorFlow, Keras, MXNet, and PyTorch.

Continue reading “An Overview of Python Deep Learning Frameworks”

15 Deep Learning Libraries

15 Deep Learning Libraries?

  • Are 15 libraries in various languages to help implement your deep learning algorithm.
  • Its powerful, flexible and intuitive and is considered as the flexible framework for Deep Learning.
  • It comes with rich set of deep learning libraries as a part of machine learning libraries.
  • You need to be a member of Data Science Central to add comments!
  • Mocha is a Deep Learning framework for Julia, inspired by the C++ framework Caffe.

 

Here are 15 libraries in various languages to help implement your deep learning algorithm.

Theano is a python library for defining and evaluating mathema…
Continue reading “15 Deep Learning Libraries”

Caffe Deep Learning Framework and GPU Acceleration

Accelerate #Caffe on the latest NVIDIA #Pascal GPUs. Get started today:

  • Speed Up Deep Learning Training With GPU-Accelerated Caffe
  • Caffe is a deep learning framework made with expression, speed, and modularity in mind.
  • GPU Applications Case Studies Why Choose Tesla Servers and Workstations Where to Buy
  • The popular computer vision framework is developed by the Berkeley Vision and Learning Center (BVLC), as well as community contributors.
  • Software and Hardware Tesla Product Literature NVLink High-speed Interconnect Tesla Software Features Software Development Tools CUDA Training and Consulting GPU Cloud Computing OpenACC GPU Directives Data Center Management Tools

Run deep learning training with Caffe up to 65% faster on the latest NVIDIA Pascal GPUs. Learn more.
Continue reading “Caffe Deep Learning Framework and GPU Acceleration”

TensorFlow in a Nutshell  —  Part One: Basics – Medium

TensorFlow in a Nutshell  — Part One: Basics – Medium   #MachineLearning #DeepLearning

  • TensorFlow is a framework created by Google for creating Deep Learning models.
  • tf.zeros() – creates a matrix full of zeros
  • An Operation also referred to as op can return zero or more tensors which can be used later on in the graph.
  • The session run actually causes the execution of three operations in the graph, creating the two constants then the matrix multiplication.
  • any variables or operations used outside of the with new_graph.as_default() will be added to the default graph that is created when the library is loaded.

The fast and easy guide to the most popular Deep Learning framework in the world.

TensorFlow is a framework created by Google for creating Deep Learning m…
Continue reading “TensorFlow in a Nutshell  —  Part One: Basics – Medium”

TensorFlow in a Nutshell  —  Part One: Basics – Medium

TensorFlow in a Nutshell - The Basics for Beginners. #MachineLearning #Python #AI

  • An Operation also referred to as op can return zero or more tensors which can be used later on in the graph.
  • tf.zeros() – creates a matrix full of zeros
  • TensorFlow is a framework created by Google for creating Deep Learning models.
  • The session run actually causes the execution of three operations in the graph, creating the two constants then the matrix multiplication.
  • any variables or operations used outside of the with new_graph.as_default() will be added to the default graph that is created when the library is loaded.

Read the full article, click here.


@Mybridge: “TensorFlow in a Nutshell – The Basics for Beginners. #MachineLearning #Python #AI”


TensorFlow in a Nutshell — Part One: Basics

The fast and easy guide to the most popular Deep Learning framework in the world.

TensorFlow is a framework c…


TensorFlow in a Nutshell  —  Part One: Basics – Medium

Deep Learning Frameworks

New #cuDNN 5.1, 2.7x faster training of #deeplearning networks with 3x3 convolutions.

  • Deep learning course: Getting Started with the Caffe Framework
  • Choose a deep learning framework from the list below, download the supported version of cuDNN and follow the instructions on the framework page to get started.
  • Chainer is a deep learning framework that’s designed on the principle of define-by-run.
  • Caffe is a deep learning framework made with expression, speed, and modularity in mind.

Read the full article, click here.


@GPUComputing: “New #cuDNN 5.1, 2.7x faster training of #deeplearning networks with 3×3 convolutions.”


The NVIDIA Deep Learning SDK accelerates widely-used deep learning frameworks such as Caffe, CNTK, TensorFlow, Theano and Torch as well as many other deep learning applications. Choose a deep learning framework from the list below, download the supported version of cuDNN and follow the instructions on the framework page to get started.


Deep Learning Frameworks