Author's): Shahidullah Kawsar
Originally published in Towards Artificial Intelligence.
Machine Learning Interview Preparation, Part 10
Deep learning is a subset of machine learning that uses neural networks with multiple hidden layers to learn complex patterns directly from data. Deep learning models are trained using backpropagation and gradient-based optimization to minimize the loss function. They are particularly effective for large, high-dimensional data and can automatically learn features without the need for manual engineering. Typical applications include speech recognition, recommendation systems, natural language processing, and computer vision.
This article provides an overview of deep learning, discussing its fundamentals, how it uses neural networks to recognize complex patterns in data, and highlights its common applications such as speech recognition and computer vision. It provides significant insight into the complexity and learning methods of deep learning models, answering common queries related to the underlying mechanisms and optimizing strategies for effective application in real-world scenarios.
Read the entire blog for free on Medium.
Published via Towards AI
Take our 90+ year old Beginner to Advanced LLM Developer Certification: From project selection to implementing a working product, this is the most comprehensive and practical LLM course on the market!
Towards AI has published 'Building an LLM for Manufacturing' – our 470+ page guide to mastering the LLM with practical projects and expert insights!
Discover your dream career in AI with AI Jobs
Towards AI has created a job board tailored specifically to machine learning and data analytics jobs and skills. Our software finds current AI tasks every hour, tags them and categorizes them so they can be easily searched. Explore over 40,000 live job opportunities with Towards AI Jobs today!
Note: The content contains the views of the authors and not Towards AI.
