Master Generative AI with 10+ Real-world Projects in 2025!
Author: since 03 Jul, 2020 Article: 36 Claps: 2534
Shipra is a Data Science enthusiast, Exploring Machine learning and Deep learning algorithms. She is also interested in Big data technologies. She believes learning is a continuous process so keep moving.
Image segmentation is the task of partitioning an image based on the objects present. Lets understand image segmentation for data science
AlexNet architecture: 8 layers, 62.3M parameters, ReLU, dropout, convolution, and deep learning advancements for image recognition.
Lenet-5 is one of the earliest pre-trained models proposed by Yann LeCun and others in the year 1998. Learn about Lenet 5 architecture here.
Learn about the Gated Recurrent Unit (GRU) and its advantages over traditional RNN and LSTM models for sequence modeling in AI.
Explore LSTM, its architecture, gates, and understand its advantages over RNNs. Learn about bidirectional LSTMs and their applications!
In this article, we are going to design our first dashboard in Tableau to help the superstore team understand the sales number a deeper level
Learn about edge image processing and how it helps identify boundaries in images using techniques like Canny and Sobel.
Image augmentation techniques help in altering the existing image data to create some more data for the model training process
Batch normalization is the process to make neural networks faster and more stable through adding extra layers in a deep neural network.
In this article, we are going to see what is SVM and how SVM works and the different kernel functions used by the algorithm to predict
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