Deep Learning

Train PyTorch Models Using Genetic Algorithm with PyGAD

PyGAD is a genetic algorithm Python 3 library for solving optimization problems. One of these problems is training machine learning algorithms. PyGAD has a module called pygad.kerasga. It train...

by Ahmed Gad

Conversational AI Architectures Powered by Nvidia: Tools Guide

by Aymane Hachcham, March 1st, 2021

Adaptive Mutation in Genetic Algorithm with Python Examples

by Ahmed Gad, February 26th, 2021

Training, Visualizing, and Understanding Word Embeddings: Deep Dive Into Custom Datasets

by Cathal Horan, January 25th, 2021

How to Keep Track of Experiments in PyTorch Using Neptune

by Aayush Bajaj, January 19th, 2021

How to Organize Deep Learning Projects – Examples of Best Practices

by Nilesh Barla, January 15th, 2021

Top 10 Best Machine Learning Tools for Model Training

by Gopal Singh Panwar, January 5th, 2021

How to Use Google Colab for Deep Learning – Complete Tutorial

by Harshit Dwivedi, January 4th, 2021

Applications of AI in Drone Technology: Building Machine Learning Models That Work on Drones (With TensorFlow/Keras)

by Brain John, December 30th, 2020

Adversarial Attacks on Neural Networks: Exploring the Fast Gradient Sign Method

by Henry Ansah, December 29th, 2020

Best Data Science Tools to Increase Machine Learning Model Understanding

by Neetika Khandelwal, December 28th, 2020

TensorFlow Object Detection API: Best Practices to Training, Evaluation & Deployment

by Anton Morgunov, December 22nd, 2020

The Advantages of Synthetic Data Over Real Data

by Michael Naber, December 16th, 2020