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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