Master Generative AI with 10+ Real-world Projects in 2025!
Author: since 12 Apr, 2021 Article: 15 Claps: 198
Aspiring Data Scientist | M.TECH, CSE at NIT DURGAPUR
Explore the essential aspects of loss functions and their application in optimizing machine learning models for enhanced performance. Learn Now!
A data science pipeline is a process collection that transforms raw data into useful solutions to business issues.
Learn about the Feed Forward neural Network's structure and its significance in the evolution of machine learning algorithms.
The activation function in Deep Learning calculates a weighted total and adds bias to decide whether a neuron should be activated or not.
Tensorflow in deep learning is an open end-to-end machine learning platform. It's a symbolic math toolkit that integrates data flow.
Explore the Convolutional Neural Networks in deep learning, covering architecture, layers, training, limitations, and Python implementation.
With help of OpenCV Python basics in Deep Learning, we deploy vector space and execute mathematical operations on these features.
Understand neural network with Keras. Keras is a Python library having an API for working with neural networks & deep learning frameworks
Learn about transfer learning for deep learning, steps to implement it, and practical Python applications for reusing pre-trained models.
A Decision Tree is a supervised Machine learning algorithm and it is used in both classification and regression algorithms.
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