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Series
In this series we will go through: Introduction || Perceptron || Activation Function || ANN || CNN || So on..
Introduction In neural networks, the number of trainable parameters (also called weights) is an important hyper‐ parameter for several reasons. Designing a very deep/dense network (i.e. a high number of weighs) can help you learn more complex models ...
Introduction Basic Components of Perceptron Perceptron is a type of artificial neural network, which is a fundamental concept in machine learning. The basic components of a perceptron are: Input Layer: The input layer consists of one or more input n...
This is the first dataset in my Deep Learning for Computer Vision series, focused on real-world environmental and conservation data from Côte d’Ivoire. In this project, we explore wildlife imagery to
Explore Files # !gcloud storage ls gs://wqu-cv-course-datasets # gcloud storage cp gs://wqu-cv-course-datasets/ptoject1.tar.gz --no clobber # !tar --skip-old-files -xzf project1.tar.gz Task 1.1.11: