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10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks

Data manipulation and wrangling hacks, tips and tricks to become an efficient data scientist. We cover 10 python, pandas and other data science hacks.

TensorFlow Serving: Deploying Deep Learning Models Just Got Easier!

TensorFlow Serving is a high performance model deployment system for machine learning and deep learning. Learn about deploying deep learning models with it.

What are Autoencoders? Learn How to Enhance a Blurred Image using an Autoencoder!

In this tutorial learn about autoencoders with a case study on enhancing image resolution. This approach is inspired by the denoising autoencoder.

Image Classification Using CNN

Image classification using CNN and explore how to create, train, and evaluate neural networks for image classification tasks.

Is Class Sensitivity Model Dependent? Analyzing 4 Popular Deep Learning Architectures

Understanding Class Sensitivity in Classification Problems (using a CIFAR-10 Case Study!)

This article presents two interesting methods of dealing with class sensitivity in a classification problem in the space of machine learning.

Image Augmentation for Deep Learning using PyTorch – Feature Engineering for Images

Image augmentation is a powerful technique to work with image data for deep learning. Learn pytorch image augmentation for deep learning.

Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code)

Apple’s Core ML 3 is a useful language for data scientists. Learn about the AI ecosystem and how Core ML 3 works and build deep learning models on iPhone.

4 Proven Tricks to Improve your Deep Learning Model’s Performance

Improve your deep learning model performance by understanding 4 key challenges and the tricks to overcome them.

PyTorch Transfer Learning Guide with Examples

Transfer learning has changed the ML landscape. Explore pytorch transfer learning and how you can perform transfer learning using PyTorch.