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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.
Learning how to build a language model in NLP is a key concept every data scientist should know. Learn to build a language model in Python in this article.
Real-time object detection is the next big thing in computer vision and deep learning. Learn how to perform real-time object detection using SlimYOLOv3.
OpenAI’s GPT-2 is the world’s most advanced framework for NLP tasks in Python. Build your own GPT-2 AI text generator in Python.
Explore Mask R-CNN with our detailed guide covering image segmentation types, implementation steps and examples in Python and PyTorch.
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