🔹 Introduction to Semantic Segmentation
Can a plain stack of convolutions and pooling, with no skip connections and no fancy upsampling, learn to segment a human from the background? It turns out that even a straightforward CNN can produce a coarse mask...
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🔹 Introduction to Reinforcement Learning
Reinforcement learning (RL) is the branch of machine learning concerned with how an intelligent agent ought to take actions in an environment so as to maximise some notion of cumulative reward. Unlike supervised...
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🔹 Hello World Keras
Keras is a popular library for machine learning. This is because a lot of facilities are available with less burdensome in comparison to other ones. In other words, you need less code to train or inference a network,...
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🔹 Hello World Pytorch
In this article, we have tried to train a simple neural network using torch (pytorch) library. To keep simplicity, we choose sonar dataset can be downloaded from here. Our dataset is in csv format and all column except...
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🔹 Data Visualization
Data visualization is an important skill in math, machine learning, or almost any scientific subject. There is as a proof, an image worth more than thousands words.
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🔹 Machine Learning
Machine learning (ML) is a branch of artificial intelligence that enables computers to learn from data without being explicitly programmed for every possible situation. Instead of hand‑crafting rules, we feed examples...
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