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Journey through Various Regularization Techniques in Neural Networks

Almost all applications today include complex models such as neural networks, machine learning models, etc. But training...

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Introduction to Semi-Supervised Learning

Most of the machine learning algorithms are based on supervised and unsupervised machine learning techniques. The major ...

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Introduction to Quantum Computing for Machine Learning

As an outcome of decades of hard work quantum computing has finally found its way with the advancement of technology to ...

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Journey Through Libraries of Python

Libraries in python are an integral part of the language. We use many different libraries for different tasks ranging fr...

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Introduction to Transformers

Convolutional neural networks have been used in computer vision since the 1980s but the main breakthrough came when Alex...

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Introduction to Capsule Networks

The current workhorse which is almost used by everyone in the deep learning community are Convolutional Neural Networks....

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