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25.15.9

Convolutional Neural Networks: Implementing & Training

Convolutional Neural Networks: Fundamentals

ConvNets: Introduction to Convolutional Neural Networks

ConvNets: Working with Convolutional Neural Networks

Improving Neural Networks: Data Scaling & Regularization

Improving Neural Networks: Loss Function & Optimization

Improving Neural Networks: Neural Network Performance Management

Training Neural Networks: Advanced Learning Algorithms

Training Neural Networks: Implementing the Learning Process

Building Neural Networks: Artificial Neural Networks Using Frameworks

Building Neural Networks: Development Principles

Getting Started with Neural Networks: Biological & Artificial Neural Networks

ML Programmer

Getting Started with Neural Networks: Perceptrons & Neural Network Algorithms

Final Exam: ML Programmer

Linear Models & Gradient Descent: Gradient Descent and Regularization