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Learn Image Classification, earn certificates with paid and free online courses from Stanford, Alexander Amini, NPTEL, CU Boulder and other top universities around the world. Read reviews to decide if a class is right for you.
Learn large-scale image classification from Nvidia's Kaggle Grandmasters in under an hour. Gain insights from their winning strategy in the Google Landmark Recognition 2020 competition.
This is a course in which you’ll go all the way from being introduced to image classification to eventually learning how to implement and tune convolutional neural networks.
Explore the deep learning revolution with Yannic Kilcher's concise study of AlexNet's impact on computer vision systems. Learn about CNNs, ImageNet, and multi-GPU training in under an hour.
Dive into computer vision with rupert ai's practical guide to CIFAR10 image classification. Learn to build complex models in under an hour.
Learn to classify MNIST sign language alphabets into 25 classes using deep learning with DigitalSreeni. Less than 1-hour workload.
Improve your ImageNet classification skills with Launchpad's under 1-hour program. Learn about knowledge distillation, noisy student training, and robustness results.
Learn Python, NumPy, Pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra. Learn how to use all the key tools for working with data in Python. See how these mathematical skills visually come to life with a neural network example.
Learn to create 3D models, maps, and animations with QGIS in a 7-hour program by GeoDelta Labs. Gain skills in geospatial data visualization, analysis, and conversion.
Learn from Stanford's Khaled Saab about using gaze data for medical image classification in this under 1-hour session. Explore deep learning models, gaze features, and multi-task learning frameworks.
Stanford University offers a seminar on DeepMind's Perceiver, a new AI architecture that processes diverse high-dimensional data, with less than an hour of material.
Explore computer vision and deep learning methods in this 5-week course by the University of Colorado Boulder. Gain hands-on experience with modern machine learning tools and software libraries.
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
Explore GIS technology, image processing, machine learning, and AI with ArcGIS in a 7-hour program. Learn to analyze, manage, and transform raw imagery into authoritative GIS content.
Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!
Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!
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