What is the use of Dynet config explain with example

This recipe explains what is the use of Dynet config explain with example

Recipe Objective - What is the use of Dynet_config explain with example?

The "dynet_config" function is useful if you want to decide whether to use the GPU or CPU simply by using the "dynet_config" function. But Importantly, this function is not recommended.

Access Face Recognition Project Code using Facenet in Python

import dynet_config
dynet_config.set_gpu()
import dynet

What Users are saying..

profile image

Gautam Vermani

Data Consultant at Confidential
linkedin profile url

Having worked in the field of Data Science, I wanted to explore how I can implement projects in other domains, So I thought of connecting with ProjectPro. A project that helped me absorb this topic... Read More

Relevant Projects

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.

Learn Object Tracking (SOT, MOT) using OpenCV and Python
Get Started with Object Tracking using OpenCV and Python - Learn to implement Multiple Instance Learning Tracker (MIL) algorithm, Generic Object Tracking Using Regression Networks Tracker (GOTURN) algorithm, Kernelized Correlation Filters Tracker (KCF) algorithm, Tracking, Learning, Detection Tracker (TLD) algorithm for single and multiple object tracking from various video clips.

Image Segmentation using Mask R-CNN with Tensorflow
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.

Recommender System Machine Learning Project for Beginners-3
Content Based Recommender System Project - Building a Content-Based Product Recommender App with Streamlit

Stock Price Prediction Project using LSTM and RNN
Learn how to predict stock prices using RNN and LSTM models. Understand deep learning concepts and apply them to real-world financial data for accurate forecasting.

End-to-End ML Model Monitoring using Airflow and Docker
In this MLOps Project, you will learn to build an end to end pipeline to monitor any changes in the predictive power of model or degradation of data.

NLP Project for Beginners on Text Processing and Classification
This Project Explains the Basic Text Preprocessing and How to Build a Classification Model in Python

Build a Churn Prediction Model using Ensemble Learning
Learn how to build ensemble machine learning models like Random Forest, Adaboost, and Gradient Boosting for Customer Churn Prediction using Python

Classification Projects on Machine Learning for Beginners - 2
Learn to implement various ensemble techniques to predict license status for a given business.

Many-to-One LSTM for Sentiment Analysis and Text Generation
In this LSTM Project , you will build develop a sentiment detection model using many-to-one LSTMs for accurate prediction of sentiment labels in airline text reviews. Additionally, we will also train many-to-one LSTMs on 'Alice's Adventures in Wonderland' to generate contextually relevant text.