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Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Network Architecture, Linear Algebra, Artificial Intelligence, Probability & Statistics, Performance Testing
Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Network Model, Machine Learning Algorithms, Linear Algebra
Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Computer Vision, Machine Learning, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing
Skills you'll gain: Software Development Tools, Code Review, ChatGPT, Web Development Tools, Software Engineering Tools, React.js, Maintainability, Integrated Development Environments, Development Environment, Application Programming Interface (API), Generative AI, Test Case, Unit Testing, Front-End Web Development, Node.JS, GitHub, Debugging, Natural Language Processing
In summary, here are 4 of our most popular intro+to+tensorflow+en+français courses
- Introduction to Neural Networks: Johns Hopkins University
- Foundations of Deep Learning and Neural Networks: Packt
- Advanced Machine Learning and Deep Learning: Packt
- Introduction to AI Tools for Coders and Programmers: Packt
