The Story of Autoencoders
Generative models are everywhere. Imagine you speak in front of a microphone, and your sound will be transformed into text! …
Unstructured data provides equal risk and opportunities for businesses
Unstructured data is projected to account for approximately 80% of the data that enterprises will process on a daily basis …
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Tensors: An Example-based Introduction to the heart of TensorFlow
This post is associated with TensorFlow tensors. Tensor are multi-dimensional arrays that are used in TensorFlow. Here, I am going …
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Trax: The New Google Brain Tool For Deep Learning
You might have heard of many different Deep Learning frameworks such as TensorFlow and PyTorch. They do everything for Deep …
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TFRecords: Learn to Use TensorFlow # 1 Helpful File Format
You probably heard about TFRecord, as the TensorFlow preferred file format. TensorFlow by Google is everywhere these days. You just …
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Top-5 Painless Data Augmentation Techniques With TensorFlow
You may hear data augmentation everywhere in Machine Learning. Deep Learning is a great machine learning approach, using neural networks, …
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A Python Virtual Environment Can Rescue You
You might have heard a lot about creating a virtual environment as a recommended approach for installing a package. Python …
Data Exploration Routine With Pandas: The Effortless Approach
Data exploration is one of the crucial steps of working with data. To perform more effective data exploration, we need …
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Differential Privacy: An Introduction to The New Promise of Data Privacy
In this post, I am going to briefly describe what is Differential Privacy and what it promises. You may keep …
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The Easy Approach to Access a Kaggle Dataset in Google Colab
This tutorial aims to show you a very easy and straightforward approach to import a Kaggle dataset into Google Colaboratory …
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