The Clever Trick Behind Google’s Inception: The 1×1 Convolution. Google’s Inception architecture has had lots of success in the image classification world —and much of it is owed to a clever trick known as 1×1 convolution, central to the model’s design.
Google’s Inception architecture has had lots of success in the image classification world —and much of it is owed to a clever trick known as 1×1 convolution, central to the model’s design.
One notices immediately that the 1×1 convolution is an essential part of the Inception module. It precedes any other convolution (3×3 and 5×5) and used four times in a single module, more than any other element.
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
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