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Series
Learn the fundamentals of deep learning and unlock the power of Generative AI. This course covers neural networks, transfer learning, GANs, transformers, and more, equipping you to build and apply cutting-edge AI models effectively.
What is Deep Learning? Deep learning is a subset of machine learning that leverages neural networks with multiple layers (hence "deep") to analyze and understand complex data. Inspired by how the human brain processes information, it enables computer...
Libraries for Deep Learning TensorFlow: A comprehensive library for building and deploying machine learning models, particularly deep learning. Suitable for both research and production environments, widely used in industry. Keras: A high-level ...
Part 1: TensorFlow and Keras Overview
Part 2 - Data Augmentation, Transfer Learning, Transpose Convolution
Part 3- Custom Training Loop, Hyperparameter Tunning, Model Optimization
In this blog we’ll understand complete working of CNN and it’s application in real time problem. Understanding Convolutional Neural Networks (CNNs) Motivation Behind CNNs Why do we need CNNs over traditional artificial neural networks (ANNs)? CNNs ex...
