Master Generative AI with 10+ Real-world Projects in 2025!
We will be classifying dog-breed, X-ray, leaves diseases are not simple, and require training. We will use stacked pre-trained model.
Fast.ai is a Deep Learning framework built on top of PyTorch. We will learn how to do image classification using Fast.ai.
This blog post will give you an overview of the Deep Belief Network in Deep Learning which is a sophisticated generative model.
Learn about implementing audio classification by project using deep learning and explore various sound classifications.
What are LSTMs and how do they work, an essential statement about the potential of Long Short Term Memory in the field of RNNs.
Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.
Learn about the Feed Forward neural Network's structure and its significance in the evolution of machine learning algorithms.
In this article, we will learn Audio Denoiser, how to remove the noises at the sender end by using a deep learning model.
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.
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