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Deep Learning Intuition - Lecture 2

Offered By: Stanford University via YouTube

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Deep Learning Courses Machine Learning Courses Computer Vision Courses Neural Networks Courses Image Processing Courses Logistic Regression Courses Clustering Courses Optimization Algorithms Courses Face Recognition Courses

Course Description

Overview

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Dive into the fundamentals of deep learning with Stanford University's lecture on deep learning intuition. Led by Adjunct Professor Andrew Ng and Lecturer Kian Katanforoosh, explore key concepts including logistic regression, face verification and recognition, clustering, and image generation. Gain insights into neural network architectures, data encoding techniques, and optimization strategies. Follow along with the comprehensive syllabus covering topics from basic introductions to advanced applications like ImageNet. Perfect for those looking to build a strong foundation in deep learning principles and their practical implementations.

Syllabus

Introduction
Recap
Logistic Regression
Notation
Face Verification
Architecture
Encoding
Data
Optimization
Face Recognition
Clustering
Generation
ImageNet


Taught by

Stanford Online

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