<?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>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Wed, 15 Apr 2026 19:39:49 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/pytorch/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Developer's Cheat Sheet to AI Frameworks for App Development]]></title><description><![CDATA[Choosing the right AI framework is the difference between a prototype that stays on your laptop and a product that scales to millions. Whether you need the massive ecosystem of TensorFlow, the]]></description><link>http://direct.ecency.com/ai/@samthomas/developer-s-cheat-sheet-to</link><guid isPermaLink="true">http://direct.ecency.com/ai/@samthomas/developer-s-cheat-sheet-to</guid><category><![CDATA[ai]]></category><dc:creator><![CDATA[samthomas]]></dc:creator><pubDate>Wed, 25 Feb 2026 14:52:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/YpihifdXP4WPqSRVu5Tje9dqUHViMxaJV7yMKpdC5yjRAnX7ghW92pyKmSFhqgssdUgLiez8rjj8yW2CjF1Yyw48G8N356Zjf4pTEDwtFJCMtKWuu1N9cgEtQU4WrskoprznVVvKBCkE7iKbAAJDyuQ4SAS1FALJhnofpZDqnSyk?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Send New Image Thru The Model - Deep Learning with PyTorch 19]]></title><description><![CDATA[In this video I'll show you how to send a new image through our Convolutional Neural Network with Pytorch and Python. Now that we've finished creating the model, it's time to send a new image thru and]]></description><link>http://direct.ecency.com/pytorch/@codemy/send-new-image-thru-the-model-deep-learning-with-pytorch-19</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/send-new-image-thru-the-model-deep-learning-with-pytorch-19</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 16 Oct 2023 13:59:27 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eF8aGUuxuRZnX38epaeppBha37gnMFE2zd4?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Graph CNN Results - Deep Learning with PyTorch 18]]></title><description><![CDATA[In this video I'll show you how to graph our CNN Results. We'll use Matplotlib to chart our results from the last video. We'll also calculate how correct we were! ✅ Watch The Entire Deep Learning With]]></description><link>http://direct.ecency.com/pytorch/@codemy/graph-cnn-results-deep-learning-with-pytorch-18</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/graph-cnn-results-deep-learning-with-pytorch-18</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 09 Oct 2023 13:43:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45dvd2Q7FZAgC4jUz1WyDtkDuRPQtGr4eNhen?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Train and Test CNN Model - Deep Learning with PyTorch 17]]></title><description><![CDATA[In this video we'll Train and Test our Convolutional Neural Network with Pytorch and Python. In the last video we built out the model, in this video we'll train and test it. We'll also keep track of how]]></description><link>http://direct.ecency.com/pytorch/@codemy/train-and-test-cnn-model-deep-learning-with-pytorch-17</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/train-and-test-cnn-model-deep-learning-with-pytorch-17</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 02 Oct 2023 16:08:15 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eGKg1tztS7T1gmtChduHUigAWrS7yv61v3G?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Convolutional Neural Network Model - Deep Learning with PyTorch 16]]></title><description><![CDATA[In this video we'll build the model for our Convolutional Neural Network in Pytorch with Python. In the last video we walked thru the steps that the model will take. In this video we'll put all those steps]]></description><link>http://direct.ecency.com/pytorch/@codemy/convolutional-neural-network-model-deep-learning-with-pytorch-16</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/convolutional-neural-network-model-deep-learning-with-pytorch-16</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 25 Sep 2023 13:37:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eMvsW7Q8UV3659MS7H1Bg8VqhAT9cPS8drN?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Convolutional and Pooling Layers - Deep Learning with PyTorch 15]]></title><description><![CDATA[In this video we'll start to build out our Convolutional Neural Network with PyTorch and Python. We'll build the Convolution and Pooling layers in this video. We won't build the model just yet, but I'll]]></description><link>http://direct.ecency.com/pytorch/@codemy/convolutional-and-pooling-layers-deep-learning-with-pytorch-15</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/convolutional-and-pooling-layers-deep-learning-with-pytorch-15</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 18 Sep 2023 15:43:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e4FFR4KscxcE4MpHxCRDoq4eZX6nVXYjsWE?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Import MNIST Images - Deep Learning with PyTorch 14]]></title><description><![CDATA[In this video we'll import the MNIST data set that we'll be using for our Convolutional Neural Network. It's finally time to start coding our CNN! In this video we'll import the libraries we'll need, as]]></description><link>http://direct.ecency.com/pytorch/@codemy/import-mnist-images-deep-learning-with-pytorch-14</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/import-mnist-images-deep-learning-with-pytorch-14</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 11 Sep 2023 13:22:12 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45dvaJeCwgXYZoYg1JJhaR7tPVBPNfMu8q8cE?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Pooling Layer in Convolutional Neural Network - Deep Learning with PyTorch 13]]></title><description><![CDATA[In this video we'll talk about the pooling layer for a Convolutional Neural Network. The pooling layer generally comes after the Convolutional Layer. We can have one pooling layer, or many, depending on]]></description><link>http://direct.ecency.com/pytorch/@codemy/pooling-layer-in-convolutional-neural-network-deep-learning-with-pytorch-13</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/pooling-layer-in-convolutional-neural-network-deep-learning-with-pytorch-13</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 04 Sep 2023 14:06:09 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e8hGXK7SEMy71dSAFwPeXFXsceY5ds2ScdU?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Convolutional Layer and RGB - Deep Learning with PyTorch 12]]></title><description><![CDATA[In this video I want to talk about the convolutional layer of our convolutional neural network. We'll talk about local connectivity vs full connectivity in a regular artificial neural network. I'll also]]></description><link>http://direct.ecency.com/pytorch/@codemy/convolutional-layer-and-rgb-deep-learning-with-pytorch-12</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/convolutional-layer-and-rgb-deep-learning-with-pytorch-12</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 21 Aug 2023 18:45:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eN1Drdz6Yto61PdVFRGmxZF6ZcLjWFb5bXL?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Image Filter / Image Kernel Overview - Deep Learning with PyTorch 11]]></title><description><![CDATA[In this video I'll start to discuss image filters, or image kernels as they're also called, for convolutional neural networds in Pytorch and Python. Image filters, or image kernels, are small matrices]]></description><link>http://direct.ecency.com/pytorch/@codemy/image-filter-image-kernel-overview-deep-learning-with-pytorch-11</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/image-filter-image-kernel-overview-deep-learning-with-pytorch-11</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 14 Aug 2023 18:49:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eRAa8uqs4jFDrkqSAfaJxJwyEXXe5YdmJ9t?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Convolutional Neural Network Intro - Deep Learning with PyTorch 10]]></title><description><![CDATA[In this video we'll start to talk about Convolutional Neural Networks (Or CNN's for short). CNN's are neural networks that are used to classify images. We'll look at the Mnist Dataset and I'll explain]]></description><link>http://direct.ecency.com/pytorch/@codemy/convolutional-neural-network-intro-deep-learning-with-pytorch-10</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/convolutional-neural-network-intro-deep-learning-with-pytorch-10</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 07 Aug 2023 18:33:06 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e7rJHYrxS4QaNWoYhUgMdE2DUdDZR87sNNa?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Save and Load our Neural Network Model - Deep Learning with PyTorch 9]]></title><description><![CDATA[In this video I'll show you how to save and load our Neural Network Model for our Iris Neural Network with PyTorch and Python. We need to save the weights and biases in a state_dict dictionary. Then I'll]]></description><link>http://direct.ecency.com/pytorch/@codemy/save-and-load-our-neural-network-model-deep-learning-with-pytorch-9</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/save-and-load-our-neural-network-model-deep-learning-with-pytorch-9</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 10 Jul 2023 18:04:21 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e6LXFsYE6DhQwx9UJ4YeyjtHAdmDdocDgEi?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Evaluate NEW Data On The Network - Deep Learning with PyTorch 8]]></title><description><![CDATA[In this video I'll show you how to feed new data into your Neural Network to make predictions using Pytorch and Python. So our network is trained and ready to go...but how do we actually use it to make]]></description><link>http://direct.ecency.com/pytorch/@codemy/evaluate-new-data-on-the-network-deep-learning-with-pytorch-8</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/evaluate-new-data-on-the-network-deep-learning-with-pytorch-8</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 03 Jul 2023 18:16:27 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eFwFAaLrppicTnSaQvg9vLUVTQVSTtRydFC?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Evaluate Test Data Set On Network - Deep Learning with PyTorch 7]]></title><description><![CDATA[In this video we'll evaluate our Neural Network Model on our Test Data Set for Pytorch and Python. Remember, we set up a train/test split and then trained our model in the previous video. Now we'll validate]]></description><link>http://direct.ecency.com/pytorch/@codemy/evaluate-test-data-set-on-network-deep-learning-with-pytorch-7</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/evaluate-test-data-set-on-network-deep-learning-with-pytorch-7</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 19 Jun 2023 18:11:09 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eN1KTVpdAEBgZ8zCn6b91Mxc8Y1myKcvdf4?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Load Data and Train Model - Deep Learning with PyTorch 6]]></title><description><![CDATA[In this video we'll import the iris dataset and Train our Model! We'll import the iris dataset as a CSV file, and then tweak the last column a bit. Then we'll set up a Train/Test/Split and start to train]]></description><link>http://direct.ecency.com/pytorch/@codemy/load-data-and-train-model-deep-learning-with-pytorch-6</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/load-data-and-train-model-deep-learning-with-pytorch-6</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Tue, 13 Jun 2023 01:48:09 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eBZLzDzttRgrhzF6P9d2W7sR4SVQjJUhiPQ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Create a Basic Neural Network Model - Deep Learning with PyTorch 5]]></title><description><![CDATA[In this video we'll start to build a very basic Neural Network using Pytorch and Python. We'll eventually use the Iris dataset to classify Iris flower pictures. In this video we'll start to build out our]]></description><link>http://direct.ecency.com/pytorch/@codemy/create-a-basic-neural-network-model-deep-learning-with-pytorch-5</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/create-a-basic-neural-network-model-deep-learning-with-pytorch-5</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 05 Jun 2023 19:23:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e5ryrJarW6XQnFvGV7QjpzHWXcxaBUMmokr?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Tensor Math Operations - Deep Learning with PyTorch 4]]></title><description><![CDATA[In this video we'll look at basic Tensor Math Operations for Deep learning with PyTorch. We'll look at regular math like Addition, Subtraction, Multiplication, Division, Remainders (Modulus), and Exponents.]]></description><link>http://direct.ecency.com/pytorch/@codemy/tensor-math-operations-deep-learning-with-pytorch-4</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/tensor-math-operations-deep-learning-with-pytorch-4</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 22 May 2023 18:20:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e9vdKxZ3kqg9TfhmF4NdmuRkqb1YkJ6y1eN?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Tensor Operations - Reshape and Slice - Deep Learning with PyTorch 3]]></title><description><![CDATA[In this video we'll look at some basic Tensor Operations for Deep Learning with Pytorch. We'll look at Reshape and View, as well as grabbing individual items from our tensor. I'll also speak a bit about]]></description><link>http://direct.ecency.com/pytorch/@codemy/tensor-operations-reshape-and-slice-deep-learning-with-pytorch-3</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/tensor-operations-reshape-and-slice-deep-learning-with-pytorch-3</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 15 May 2023 17:31:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45e8ecwM3iiYBqK65t2hP5AHeAwKnF1VpPrRt?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Tensors With PyTorch - Deep Learning with Pytorch 2]]></title><description><![CDATA[In this video I'll teach you the very basics of Tensors with PyTorch for Deep Learning. Tensors are very similar to Numpy Arrays (which are pretty similar to Python Lists). Unlike Numpy Arrays, Tensors]]></description><link>http://direct.ecency.com/pytorch/@codemy/tensors-with-pytorch-deep-learning-with-pytorch-2</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/tensors-with-pytorch-deep-learning-with-pytorch-2</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 01 May 2023 17:48:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45dvHL2RLKBhKn5683buFUabfPEA3r8ZsMLvz?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Intro To Deep Learning With PyTorch - Deep Learning with Pytorch 1]]></title><description><![CDATA[Welcome to the first video in my Deep Learning With Pytorch playlist! In this video I'll talk a little bit about what a Neural Network is, and give you a little bit of background history on Pytorch vs.]]></description><link>http://direct.ecency.com/pytorch/@codemy/intro-to-deep-learning-with-pytorch-deep-learning-with-pytorch-1</link><guid isPermaLink="true">http://direct.ecency.com/pytorch/@codemy/intro-to-deep-learning-with-pytorch-deep-learning-with-pytorch-1</guid><category><![CDATA[pytorch]]></category><dc:creator><![CDATA[codemy]]></dc:creator><pubDate>Mon, 24 Apr 2023 19:11:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eKAfrUaFKNaRmKnGynfvMmPcbvPK5Z1gSkE?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>