<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Thu, 13 Aug 2026 03:43:23 GMT</lastBuildDate><atom:link href="https://ecency.com/@blkholedetector/rss" rel="self" type="application/rss+xml"/><item><title><![CDATA[Deep Learning Fundamentals - Part 7: How does an artificial neural network learn?]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-7-how-does-an-artificial-neural-network-learn</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-7-how-does-an-artificial-neural-network-learn</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Fri, 10 Nov 2017 23:35:24 GMT</pubDate><enclosure url="https://i.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eHxHu8iSefWBsLmqKKLdmsNf338LNe7gY46?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Deep Learning Fundamentals - Part 6: What does it mean to train an artificial neural network?]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-6-what-does-it-mean-to-train-an-artificial-neural-network</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-6-what-does-it-mean-to-train-an-artificial-neural-network</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Fri, 20 Oct 2017 03:20:57 GMT</pubDate><enclosure url="https://i.ecency.com/p/99pyU5Ga1kws91ecJjkANAzfstp5ietJ4ACvk9NVM3nz7AqXVdLtqVKbibb81QcLT7PfpXz1hBLA9rhD5tjAP5h6zPTkTvY4t2JHFLcJXTxXfpeS8xMw8dnQWtateJ8fGa?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Deep Learning Fundamentals - Part 5: What is an activation function in an artificial neural network?]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-5-what-is-an-activation-function-in-an-artificial-neural-network</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-5-what-is-an-activation-function-in-an-artificial-neural-network</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Fri, 13 Oct 2017 20:29:33 GMT</pubDate><enclosure url="https://i.ecency.com/p/TZjG7hXReeVthqpTJZmwvzsLcvMeG4TU4Gjdfy25jxXCt1bftuHhSqBJuK1w7Zrmd8LK4x4f94bLD575jzBpPSQ7ugBZzugvJkrfTwXKoUBNeNj4Tr5hPthdg6DZmV3bu2bMHVCNt6PLBQ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Deep Learning Fundamentals - Part 4: What are layers in an artificial neural network?]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-4-what-are-layers-in-an-artificial-neural-network</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-4-what-are-layers-in-an-artificial-neural-network</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Wed, 11 Oct 2017 23:06:21 GMT</pubDate></item><item><title><![CDATA[Deep Learning Fundamentals - Part 3: What is an artificial neural network?]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-3-what-is-an-artificial-neural-network</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-3-what-is-an-artificial-neural-network</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Wed, 11 Oct 2017 02:06:12 GMT</pubDate></item><item><title><![CDATA[Deep Learning Fundamentals - Part 2: What is deep learning?]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-2-what-is-deep-learning</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-2-what-is-deep-learning</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Mon, 09 Oct 2017 21:12:57 GMT</pubDate></item><item><title><![CDATA[Deep Learning Fundamentals - Part 1: What is machine learning?]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-1-what-is-machine-learning</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-fundamentals-part-1-what-is-machine-learning</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Sat, 07 Oct 2017 21:44:45 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 16: Image Data Augmentation in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-16-image-data-augmentation-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-16-image-data-augmentation-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Wed, 04 Oct 2017 00:20:09 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 15: Predict with a fine-tuned CNN in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-15-predict-with-a-fine-tuned-cnn-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-15-predict-with-a-fine-tuned-cnn-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Sun, 01 Oct 2017 20:19:09 GMT</pubDate></item><item><title><![CDATA[How computers learn to recognize objects instantly]]></title><description><![CDATA[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!]]></description><link>https://ecency.com/@blkholedetector/how-computers-learn-to-recognize-objects-instantly</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/how-computers-learn-to-recognize-objects-instantly</guid><category><![CDATA[technology]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Fri, 29 Sep 2017 04:17:54 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 14: Train a fine-tuned CNN in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-14-train-a-fine-tuned-cnn-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-14-train-a-fine-tuned-cnn-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Fri, 29 Sep 2017 00:40:39 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 13: Fine-tune a CNN in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-13-fine-tune-a-cnn-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-13-fine-tune-a-cnn-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Thu, 28 Sep 2017 00:46:45 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 12: Predict with a CNN in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-12-predict-with-a-cnn-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-12-predict-with-a-cnn-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Wed, 27 Sep 2017 01:30:39 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 11: Build and train a CNN in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-11-build-and-train-a-cnn-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-11-build-and-train-a-cnn-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Tue, 26 Sep 2017 00:45:03 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 10: Set up for CNN training on images in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-10-set-up-for-cnn-training-on-images-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-10-set-up-for-cnn-training-on-images-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Sun, 24 Sep 2017 18:35:21 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 9: Save and load Keras model]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-9-save-and-load-keras-model</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-9-save-and-load-keras-model</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Sat, 23 Sep 2017 16:20:45 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 8: Create confusion matrix for Keras model predictions]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-8-create-confusion-matrix-for-keras-model-predictions</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-8-create-confusion-matrix-for-keras-model-predictions</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Fri, 22 Sep 2017 01:42:30 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 7: Make predictions in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-7-make-predictions-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-7-make-predictions-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Thu, 21 Sep 2017 00:42:15 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 6: Create a validation set in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-6-create-a-validation-set-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-6-create-a-validation-set-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Wed, 20 Sep 2017 16:57:30 GMT</pubDate></item><item><title><![CDATA[Deep learning with Keras - Part 5: Train a single hidden layer model in Keras]]></title><description><![CDATA[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]]></description><link>https://ecency.com/@blkholedetector/deep-learning-with-keras-part-5-train-a-single-hidden-layer-model-in-keras</link><guid isPermaLink="true">https://ecency.com/@blkholedetector/deep-learning-with-keras-part-5-train-a-single-hidden-layer-model-in-keras</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[blkholedetector]]></dc:creator><pubDate>Tue, 19 Sep 2017 22:56:00 GMT</pubDate></item></channel></rss>