What is Hebel library and how to install it

This recipe explains what is Hebel library and how to install it

Recipe Objective - What is the Hebel library, and how to install it?

Hebel is the GPU-Accelerated Deep Learning Library in Python.

Hebel is a python library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA.

Hebel implements the most important types of neural network models.

Complete Guide to Tensorflow for Deep Learning with Python for Free

Installation:-

The easiest way to install external libraries in python is to use pip.

pip is a package management system used to install and manage software packages written in Python.

! pip install Hebel

What Users are saying..

profile image

Jingwei Li

Graduate Research assistance at Stony Brook University
linkedin profile url

ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data.... Read More

Relevant Projects

Build a CNN Model with PyTorch for Image Classification
In this deep learning project, you will learn how to build an Image Classification Model using PyTorch CNN

Word2Vec and FastText Word Embedding with Gensim in Python
In this NLP Project, you will learn how to use the popular topic modelling library Gensim for implementing two state-of-the-art word embedding methods Word2Vec and FastText models.

Build a Graph Based Recommendation System in Python -Part 1
Python Recommender Systems Project - Learn to build a graph based recommendation system in eCommerce to recommend products.

OpenCV Project for Beginners to Learn Computer Vision Basics
In this OpenCV project, you will learn computer vision basics and the fundamentals of OpenCV library using Python.

Build CNN Image Classification Models for Real Time Prediction
Image Classification Project to build a CNN model in Python that can classify images into social security cards, driving licenses, and other key identity information.

Personalized Medicine: Redefining Cancer Treatment
In this Personalized Medicine Machine Learning Project you will learn to classify genetic mutations on the basis of medical literature into 9 classes.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

Build ARCH and GARCH Models in Time Series using Python
In this Project we will build an ARCH and a GARCH model using Python

Learn to Build a Siamese Neural Network for Image Similarity
In this Deep Learning Project, you will learn how to build a siamese neural network with Keras and Tensorflow for Image Similarity.

Build Time Series Models for Gaussian Processes in Python
Time Series Project - A hands-on approach to Gaussian Processes for Time Series Modelling in Python