This seventh video in the Deep Learning Fundamentals video series describes what it means for an artificial neural network to learn. The video mentioned at 5:26 that shows how to pre-process the example

In this sixth video of the Deep Learning Fundamentals series, we’ll discuss what it means to train an artificial neural network. In previous videos, we went over the basic architecture of a general artificial

In this fifth video of the Deep Learning Fundamentals series, we’ll be discussing what an activation function is and how we use these functions in neural networks. We’ll also discuss a couple of different

This fourth video in the Deep Learning Fundamentals video series describes what a layer in an artificial neural network is, how it works, and shows how to specify layers in a Keras Sequential model. Previous

This third video in the Deep Learning Fundamentals video series describes what an artificial neural net is, how it works, and shows how one is built using Keras. Previous videos in this series: Deep Learning

This second video in the Deep Learning Fundamentals video series gives an intro to what deep learning is and how it is used. Previous videos in this series: Deep Learning Fundamentals - Part 1: What is

This video series will cover multiple topics in deep learning. We'll discuss these different topics, understand what they mean, and how they fit into the overall field of deep learning. We'll also show

This sixteenth video in the Deep learning with Keras series demonstrates how to use data augmentation on images in Keras. Previous videos in this series: Deep learning with Keras - Part 1: Prerequisites

This fifteenth video in the Deep learning with Keras series demonstrates how to predict whether images are cats or dogs with a fine-tuned model. The model used in this video is VGG16, the winner of the

This mind-blowing TED talk (and live demo) show computer vision at its best, simultaneously classifying hundreds of images... in real time... with a moving video camera!

This fourteenth video in the Deep learning with Keras series demonstrates how to train a fine-tuned model to classify whether an image is a cat or a dog. The model used in this video is VGG16, the winner

This thirteenth video in the Deep learning with Keras series demonstrates how to build and fine-tune a previously trained model to classify whether an image is a cat or a dog. The model used in this video

This twelfth video in the Deep learning with Keras series demonstrates how to predict whether an image is a cat or a dog with a Convolutional Neural Network (CNN) in Keras. The images used in this video

This eleventh video in the Deep learning with Keras series demonstrates how to build and train a simple convolutional neural network to classify images in Keras. The images used in this video are a random

This tenth video in the Deep learning with Keras series demonstrates how to get set up to start training a convolutional neural network on images in Keras. The images used in this video are a random subset

This ninth video in the Deep learning with Keras series demonstrates how to save a Keras model and then shows how to load and deploy the saved model. Previous videos in this series: Deep learning with

This eighth video in the Deep learning with Keras series demonstrates how to create a confusion matrix to visually observe how well a Keras model was able to predict on new data. Previous videos in this

This seventh video in the Deep learning with Keras series demonstrates how to make predictions on data in Keras. Previous videos in this series: Deep learning with Keras - Part 1: Prerequisites for working

This sixth video in the Deep learning with Keras series demonstrates what a validation set is, why it’s useful, and how to create a validation set in Keras. Previous videos in this series: Deep learning

This fifth video in the Deep learning with Keras series demonstrates how to train a single hidden layer model in Keras. Previous videos in this series: Deep learning with Keras - Part 1: Prerequisites