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Introduction to the Python Deep Learning Library Theano

Machine Learning Mastery

Last Updated on August 19, 2019 Theano is a Python library for fast numerical computation that can be run on the CPU or GPU. It is a key foundational library for Deep Learning in Python that you can u...

Debugging Theano: FAQ and Troubleshooting

Theano Tutorial

Debugging Theano: FAQ and Troubleshooting There are many kinds of bugs that might come up in a computer program. This page is structured as a FAQ. It provides recipes to tackle common problems, and i...

Hands-On Theano: One of the Most Powerful Scientific Tools for Python

Towards AI

In my previous article, I mentioned 13 Data Science libraries for Python and I also talked about Theano. But that was a brief introduction, today we will talk more specifically about Theano, its…

Profiling Theano function

Theano Tutorial

Profiling Theano function Note This method replace the old ProfileMode. Do not use ProfileMode anymore. Besides checking for errors, another important task is to profile your code in terms of speed a...

Not Just PyTorch and TensorFlow: 4 Other Deep Learning Libraries You Should Lnow

Towards Data Science

A quick introduction to JAX, MXNet, MATLAB, and Flux Photo by Gabriel Sollmann on Unsplash Machine learning libraries accelerate the deep learning revolution. They lowered the barrier of entry for pr...

ONNX: The Standard for Interoperable Deep Learning Models

Towards Data Science

Learn about the benefits of using the ONNX standard for deploying models across frameworks and hardware platforms Continue reading on Towards Data Science

Design an Easy-to-Use Deep Learning Framework

Towards Data Science

The three software design principles I learned as an open-source contributor Photo by Sheldon on Unsplash Deep learning frameworks are extremely transitory. If you compare the deep learning framework...

Fastai — the deep learning library that sits on top of Pytorch

Analytics Vidhya

TensorFlow and Pytorch are the most popular deep learning libraries of this moment. Besides that there are high level deep learning libraries. On top of Tensorflow there is Keras; a popular high…

☕️ 🕸 Deep Learning for Java and .NET Developers

TheSequence

📝 Editorial The deep learning space is mostly a Python game. Python’s flexibility and mathematically intuitive syntax have made it a favorite language of AI researchers and technologists producing a ...

Multi cores support in Theano

Theano Tutorial

Multi cores support in Theano Convolution and Pooling Since Theano 0.9dev2, the convolution and pooling are parallelized on CPU. BLAS operation BLAS is an interface for some mathematical operations b...

Appendix: Tools for Deep Learning

Dive intro Deep Learning Book

To get the most out of Dive into Deep Learning , we will talk you through different tools in this appendix, such as for running and contributing to this interactive open-source book.

A Brief History of Deep Learning Frameworks

Towards Data Science

A survey of deep learning frameworks and their future projection

The charming simplicity of NN frameworks

Becoming Human: Artificial Intelligence Magazine

Honestly, it is a bit challenging to write again after I’ve published Mostly complete chart of Neural Networks, explained — 150+ recommends and 200+ followers bring up some responsibility. Still…

10 GenAI Notebooks: OpenAI, LLM, RAG, GPT, and More

Machine Learning Techniques

For developers and AI/ML professionals. This comprehensive free resource offered by our sponsor is designed to provide you with hands-on experience and deeper insights into building cutting-edge GenAI...

A Beginner-Friendly Guide to PyTorch and How it Works from Scratch

Analytics Vidhya

Every once in a while, there comes a library or framework that reshapes and reimagines how we look at the field of deep learning. The remarkable progress a single framework can bring about never…

Getting Started with TensorFlow the Easy Way (Part 1)

Analytics Vidhya

Given the recent spike in interest in the deep learning field, there is often a fiery debate that happens among data scientists — which framework is the best? This, like so many other things in this…

SRCNN Paper Summary & Implementation

Analytics Vidhya

SRCNN[1] proposes a 3 layer CNN for image super-resolution. It is one of the first papers to apply deep neural networks for the task of image super-resolution. The SRCNN architecture is composed of…

How to create your own deep learning framework using only Numpy

Towards Data Science

This article will show you the challenges, components, and steps you need to make/overcome to create a basic deep learning framework Photo by Vlado Paunovic on Unsplash Let's start by defining what w...

Implementing RNNs

Analytics Vidhya

Hello everyone! This is my eleventh writing on my journey of Completing the Deep Learning Nanodegree in a month! I’ve done 51% of the fourth module out of a total of six modules of the degree. Today…

Introduction to Python Deep Learning with Keras

Machine Learning Mastery

Last Updated on September 13, 2019 Two of the top numerical platforms in Python that provide the basis for Deep Learning research and development are Theano and TensorFlow. Both are very powerful libr...

Programming a Neural Network Tutorial: Vintage Style

Towards AI

Times Change (Abstraction) The code, tools, platforms, and related methods available to Widrow were not the code, tools, platforms, and related methods we have today. A relatively simple neural networ...

Deep Learning on Jetson Nano: Streamlining Docker Builds

Analytics Vidhya

While the default image for Jetson Nano comes with a lot of useful packages for building deep learning apps, TensorFlow, Keras, Pytorch or Jupyter notebooks are not among them. NVIDIA provides…

PyTorch -A Framework for Deep Learning

Analytics Vidhya

Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Every once in while, there comes a library or…...

Are You Sure That You Can Implement Image Classification Networks?

Towards AI

Before my recent paper submission, I firmly believed that I could easily implement image classification networks due to well-constructed… Continue reading on Towards AI