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Optimizers In Deep Learning

Optimization is the task of finding the optimal loss surface by changing the attributes such as the weights and bias to ...

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Handling Imbalanced Datasets

Accuracy is a common metric that comes to everyone’s mind when we talk about the performance of a model or algorithm on ...

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Flask

We are all interested in solving the real-life, challenging problem with machine learning and deep learning, but most of...

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Feature Scaling

The field of deep learning has gained a lot of attraction in the last few years. The most popular problems that are solv...

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Eye for Blind

In this article, we are going to make an image to speech converter. This is especially useful for blind people as it can...

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Exploratory Data Analysis

Exploratory data analysis (EDA) is an approach to investigating the datasets to discover patterns, anomalies, imbalances...

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