Sebastian Moncada, Author at SuperDataScience - Big Data | Analytics Careers | Mentors | Success

Author: Sebastian Moncada

Plan of Attack [For the ppt of this lecture click here] This section will be on Convolutional Neural Network. If you go past the “convoluted” vocabulary (pun obviously intended), you will find that the plan of attack is set up in a way that will really help you dissect and absorb the concept. The end […]

Deep Learning A-Z™ Module 2: Convolutional Neural Networks (CNN) Plan of Attack [For the Full Article Click Here] Deep Learning A-Z™: Convolutional Neural Networks (CNN) – Plan of Attack from Kirill Eremenko

Deep Learning A-Z™ Module 2: Convolutional Neural Networks (CNN) Step 2 – Pooling [For the Full Article Click Here] Deep Learning A-Z™: Convolutional Neural Networks (CNN) – Step 2: Pooling from Kirill Eremenko

Deep Learning A-Z™ Module 2: Convolutional Neural Networks (CNN) Step 3 – Flattening [For the Full Article Click Here] Deep Learning A-Z™: Convolutional Neural Networks (CNN) – Step 3: Flattening from Kirill Eremenko

Deep Learning A-Z™ Module 2: Convolutional Neural Networks (CNN) Step 4 – Full Connection [For the Full Article Click Here] Deep Learning A-Z™: Convolutional Neural Networks (CNN) – Step 4: Full Connection from Kirill Eremenko

Deep Learning A-Z™ Module 2: Convolutional Neural Networks (CNN) Summary [For the Full Article Click Here] Deep Learning A-Z™: Convolutional Neural Networks (CNN) – Summary from Kirill Eremenko

Deep Learning A-Z™ Module 2: Convolutional Neural Networks (CNN) Softmax & Cross-Entropy [For the Full Article Click Here]

Step 2 – Max Pooling [For the ppt of this lecture click here] What is Pooling? Instead of verbally defining pooling, we’ll start off this tutorial with an example right away. The Cheetah Example In the example above, the same cheetah image is presented in different ways. It is normal in its first version, rotated […]

Step 3: Flattening [For the ppt of this lecture click here] This step is pretty simple, hence the shockingly short tutorial. After finishing the previous two steps, we’re supposed to have a pooled feature map by now. As the name of this step implies, we are literally going to flatten our pooled feature map into […]

Step 4: Full Connection [For the ppt of this lecture click here] Here’s where artificial neural networks and convolutional neural networks collide as we add the former to our latter. It’s here that the process of creating a convolutional neural network begins to take a more complex and sophisticated turn. As you see from the […]

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