CNN Tensor Shape Explained – Convolutional Neural Networks and Feature Maps

Convolutional neural networks are artificial neural nets used for image recognition in deep learning. Let’s look at the typical tensor input shape for a CNN. We’ll also introduce input channels, output channels, and feature maps. Check out the corresponding blog and other resources for this…

Rank, Axes, and Shape Explained – Tensors for Deep Learning

Part 2: Introducing tensors for deep learning and neural network programming. Check out the corresponding blog and other resources for this video at: http://deeplizard.com/learn/video/AiyK0idr4uM ❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Ruicong Xie Najib Akram Support collective intelligence, and join the…

Tensors Explained – Data Structures of Deep Learning

Part 1: Introducing tensors for deep learning and neural network programming. Check out the corresponding blog and other resources for this video at: http://deeplizard.com/learn/video/Csa5R12jYRg ❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Ruicong Xie Najib Akram Support collective intelligence, and join the…

PyTorch Explained – Python Deep Learning Neural Network API

PyTorch is a deep learning framework and a scientific computing package. There’s no better place to start as we’ll be using PyTorch in this series to program our neural networks. Check out the corresponding blog and other resources for this video at: http://deeplizard.com/learn/video/iTKbyFh-7GM ❤️🦎 Special…

AI Customer Targeting Levels – From Customer Segmentation to Recommendation Systems – AI Trends

This is the first of a four part series on machine learning and deep learning written for AI Trends by Piotr Migdal, Ph.D., deepsense.ai. Every time you watch a film Netflix has suggested or buy a “similar product” on Amazon, it is a personalized recommendation….

How to Get Started with Deep Learning for Time Series Forecasting (7-Day Mini-Course)

Deep Learning for Time Series Forecasting Crash Course. Bring Deep Learning methods to Your Time Series project in 7 Days. Time series forecasting is challenging, especially when working with long sequences, noisy data, multi-step forecasts and multiple input and output variables. Deep learning methods offer…

Artificial Intelligence Device Identifies Objects at the Speed of Light

… “training” used a branch of artificial intelligence called deep learning, in which … are commonly used tests in artificial intelligence studies. To do that, they … camera lens works, but using artificial intelligence instead of physics. Because its … VISIT THE SOURCE ARTICLE Author:

TensorFlow.js – Running MobileNet in the browser

In this video, we’ll be adding enhancements and new functionality to our deep learning web application to increase its speed and performance. Specifically, we’ll see how we can do that by switching models. We currently have a web app that allows users to select and…

TensorFlow.js – Loading the model into a neural network web app

In this video, we’ll continue the development of the client-side deep learning application we started in the last video. Recall, we previously built the UI for our CNN image classification web app that will first use VGG16 as the model. Now, we’ll focus on the…