Radial Basis Function Networks – Regression for ML
Machine learning is an expansive field – one often made better by techniques common to data science like regression. In this tutorial, we’re going to explore the topic of neural … Read more
Explore Free Neural Networks Tutorials
Learn how to work with neural networks! Explore how to mimic the brain for machine learning via free neural network tutorials!
Perceptrons: The First Neural Networks for Machine Learning
Machine learning is not only a fascinating topic but one with a variety of approaches. Neural networks, one such approach, have come to the forefront largely due to their accessibility … Read more
Learn About Python for Beginners: What is Python Programming
Did you know that the Python programming language is one of the most in-demand languages in the industry right now? In fact, a survey of developers by CodinGame lists Python … Read more
An Introduction to Image Recognition
You can access the full course here: Convolutional Neural Networks for Image Classification Intro to Image Recognition Let’s get started by learning a bit about the topic itself. Image recognition … Read more
An Introduction to Machine Learning
You can access the full course here: Machine Learning for Beginners with TensorFlow Intro to Machine Learning Now that we know what the course is all about, let’s learn a … Read more
How to Process Video Frames using OpenCV and Python
You can access the full course here: Create a Raspberry Pi Smart Security Camera Transcript Hello everybody, my name is Mohit Deshpande and in this video, we’re going to start … Read more
A Comprehensive Guide to Neural Networks
You can access the latest Machine Learning courses here: Machine Learning Mini-Degree Transcript 1 Hello everybody. My name is Mohit Deshpande. And before we get into our main topic of … Read more
Machine Learning Mini-Degree
Master Machine Learning with Python and Tensorflow. Craft Advanced Artificial Neural Networks and Build Your Cutting-Edge AI Portfolio. The Machine Learning Mini-Degree is an on-demand learning curriculum composed of 6 professional-grade courses … Read more
The Complete Programming and Full-Stack Bundle – 20 Course Smart Curriculum
?? Go from beginner to full-stack developer! The Complete Programming and Full-Stack Bundle is the world’s most effective way to go from beginner to professional coder. Whether your goal is to advance your … Read more
An Introduction to AI
You can access the full course here: The Complete Artificial Neural Networks Developer Course Why do we even have artificial intelligence? Computers are really dumb machines! When we write code … Read more
Free E-book – Deep Learning with Python for Human Beings
We are excited to announce that we have just released a comprehensive new intermediate-level eBook on Machine Learning! Written by computer science researcher Mohit​ ​Deshpande, this eBook is guaranteed to … Read more
Advanced Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are used in all of the state-of-the-art language modeling tasks such as machine translation, document detection, sentiment analysis, and information extraction. Previously, we’ve only discussed the … Read more
Understanding Advanced Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are used in all of the state-of-the-art vision tasks such as image classification, object detection and localization, and segmentation. Previously, we’ve only discussed the LeNet-5 architecture, … Read more
Recurrent Neural Networks for Language Modeling
Many neural network models, such as plain artificial neural networks or convolutional neural networks, perform really well on a wide range of data sets. They’re being used in mathematics, physics, … Read more
A Guide to Improving Deep Learning’s Performance
Although deep learning has great potential to produce fantastic results, we can’t simply leave everything to the learning algorithm! In other words, we can’t treat the model as some black-box, … Read more
Introduction to Convolutional Neural Networks for Vision Tasks
Neural networks have been used for a wide variety of tasks across different fields. But what about image-based tasks? We’d like to do everything we could with a regular neural … Read more
Complete Guide to Deep Neural Networks – Part 2
Read Part 1 here. Last time, we formulated our multilayer perceptron and discussed gradient descent, which told us to update our parameters in the opposite direction of the gradient. Now … Read more
Complete Guide to Deep Neural Networks – Part 1
Neural networks have been around for decades, but recent success stems from our ability to successfully train them with many hidden layers. We’ll be opening up the black-box that is … Read more