Streamlit is a popular open-source framework used for model deployment by machine learning and data science teams efficiently
Build image classification models in Pytorch and TensorFlow. Learn CNN for image classification on MNIST dataset and analyze the performance of the model.
Learn the basics of various distance metrics used in machine learning, including Euclidean, Minkowski, Hammingand, and Manhattan distances.
A beginner-level introduction to Generative Models and GANs. This is an end-to-end guide to understand how GANs work in computer vision.
Learn computer vision with the collection of the top resources for computer vision. This learning path is helpful to master computer vision.
Image augmentation is a powerful technique to work with image data for deep learning. Learn pytorch image augmentation for deep learning.
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.
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.
