Deep learning

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Deep learning

• Course Info
• Curriculum
• Instructors

Description

Deep learning with TensorFlow involves building, training, and deploying multi-layered artificial neural networks using Google's open-source machine learning framework. By pairing low-level mathematical operations on multi-dimensional arrays (tensors) with the high-level Keras API, TensorFlow enables developers to solve complex problems across computer vision, natural language processing (NLP), and time-series forecasting.

What you'll learn in this course?

• Core TensorFlow & Keras Fundamentals
• • Framework Architecture. Understand TensorFlow’s execution pipeline, tensors, mathematical operations, and the integration of the Keras Sequential and Functional APIs.

• • Data Preprocessing. Build scalable input data pipelines, perform exploratory analysis, and prepare structured and unstructured datasets for model training.
• • Foundational Modeling. Implement basic regression, classification, and curve-fitting models to minimize error functions.

Course Curriculum

GitHub Resources

• GitHub Resources - tensorflow deep learning

Instructors

Dhanvika Y

Experienced instructor passionate about teaching and sharing knowledge.