Web Class: An Introduction to Neural Networks

Transcript Part 1 Hello everybody. My name is Mohit Deshpande. And before we get into our main topic of neural networks, I first wanna talk a little bit about where they come from. In this video, I just wanna very briefly just go over kind of the inspiration for neurons, and this topic of neural … Read moreWeb Class: An Introduction to Neural Networks

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 geared towards teaching you how to solve real-world problems and build innovative projects using Machine Learning and Python. Learn and understand the fundamentals necessary to build the next … Read moreMachine Learning Mini-Degree

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 give you that more advanced outlook in this exciting field. The concepts covered in this book build on top of our previous entry-level Machine Learning … Read moreFree E-book – Deep Learning with Python for Human Beings

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, but that hasn’t been used in practice for decades! We’ll discuss some more modern and complicated architectures such as GoogLeNet, ResNet, and DenseNet. These are … Read moreUnderstanding Advanced Convolutional Neural Networks

All About Autoencoders

Data compression is a big topic that’s used in computer vision, computer networks, computer architecture, and many other fields. The point of data compression is to convert our input into a smaller representation that we recreate, to a degree of quality. This smaller representation is what would be passed around, and, when anyone needed the original, they … Read moreAll About Autoencoders

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 network, but we want to explicitly treat the inputs as images. We’ll discuss a special kind of neural network called a Convolutional Neural Network (CNN) that … Read moreIntroduction to Convolutional Neural Networks for Vision Tasks

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