Vizuara Books
Convolutional Neural Networks Fundamentals
Build CNNs from filters to a real classifier.
From a pixel grid to a trained network: convolution, pooling, activations, and backprop built by hand and illustrated. Ends with a working brain-tumor MRI classifier you code and train in Python.
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00Getting Started4 capsules
Getting Started — 4 chapters.
01About This Bookconceptfree13 min02What You Will Learnconcept🔒12 min03Where CNNs Fit in Deep Learningconcept🔒13 min04Setting Up Python and Your Toolscode🔒13 min01From Machine Learning to Deep Learning6 capsules
From Machine Learning to Deep Learning — 6 chapters.
05AI, ML, and Deep Learningconcept🔒14 min06Types of Machine Learning Modelsconcept🔒13 min07A Classical Baseline: Decision Treesintuition🔒14 min08The Six Steps of an ML Projectconcept🔒15 min09How ML Is Taught, and How We Will Teach Itintuition🔒15 min10Technical Overview of the Road Aheadconcept🔒13 min02Why Convolutional Neural Networks3 capsules
Why Convolutional Neural Networks — 3 chapters.
11Images as Numbers: Pixels, Channels, and Tensorsintuition🔒12 min12Why Dense Networks Fail on Imagesintuition🔒14 min13Introduction to Convolutional Neural Networksconcept🔒14 min03Filtering and Convolution5 capsules
Filtering and Convolution — 5 chapters.
14Filters in 1-D and the Convolution Operationmath🔒14 min15Convolution By Hand: A Worked Examplemath🔒15 min16Filters in 2-Dmath🔒16 min17Padding, Stride, and Output Sizemath🔒14 min18Feature Maps and Learned Filtersintuition🔒15 min04The Layers of a CNN5 capsules
The Layers of a CNN — 5 chapters.
19The Convolutional Layerconcept🔒14 min20Activation Functions and ReLUmath🔒16 min21Max Pooling Layersconcept🔒13 min22Flatten and the Fully Connected Headconcept🔒14 min23Stacking the Layers Into a CNNintuition🔒14 min05Training a CNN5 capsules
Training a CNN — 5 chapters.
24The Forward Pass and the Lossmath🔒13 min25Gradient Descent, Refreshedmath🔒15 min26Backpropagation in CNNsmath🔒13 min27CNN Architecture Explainedconcept🔒14 min28Landmark Architectures: LeNet to ResNetdeep-dive🔒15 min06Project: Brain Tumor Classifier5 capsules
Project: Brain Tumor Classifier — 5 chapters.
29The Dataset and the Problemproject🔒12 min30Building the CNN in Pythoncode🔒15 min31Training the Modelcode🔒15 min32Evaluating and Interpreting Resultsproject🔒12 min33Turning It Into an Applicationproject🔒14 min07Putting It All Together1 capsules
Putting It All Together — 1 chapter.
34Putting It All Togetherconcept🔒15 minRatings & reviews
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