India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Image augmentation is a powerful technique to work with image data for deep learning. Learn pytorch image augmentation for deep learning.
Machine learning pipelines in PySpark are easy to build if you follow a structured approach. Learn how to build ML pipelines using pyspark.
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.
Improve your deep learning model performance by understanding 4 key challenges and the tricks to overcome them.
Transfer learning has changed the ML landscape. Explore pytorch transfer learning and how you can perform transfer learning using PyTorch.
Learn how to build convolutional neural network (CNN) models using PyTorch. Work on an image classification problem by building CNN models.
BERT is the state-of-the-art framework for Natural Language Processing. Read this blog post to understand how this keyphrase has changed the landscape
Pytorch is a python based library. An introduction to pytorch and getting started with pytorch to build neural networks and take a case study as an example.
Take your computer vision skills to the next level with video classification models. Discover how to analyze and classify video data using deep learning.
Explore Mask R-CNN with our detailed guide covering image segmentation types, implementation steps and examples in Python and PyTorch.
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