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25.10.0

DL Programmer

Improving Neural Networks: Data Scaling & Regularization

Improving Neural Networks: Loss Function & Optimization

Improving Neural Networks: Neural Network Performance Management

Convolutional Neural Networks: Fundamentals

Convo Nets for Visual Recognition: Computer Vision & CNN Architectures

Fundamentals of Sequence Model: Artificial Neural Network & Sequence Modeling

Fundamentals of Sequence Model: Language Model & Modeling Algorithms

Build & Train RNNs: Implementing Recurrent Neural Networks

ML Algorithms: Machine Learning Implementation Using Calculus & Probability

ConvNets: Introduction to Convolutional Neural Networks

Convo Nets for Visual Recognition: Filters and Feature Mapping in CNN

ML Algorithms: Multivariate Calculation & Algorithms

Training Neural Networks: Advanced Learning Algorithms

Build & Train RNNs: Neural Network Components

Convolutional Neural Networks: Implementing & Training