Deep Learning Tutorial - 04 Maximum Likelihood, Cross-Entropy, One-Hot Encoding - Logistic Regrssio

Get introduced to the Maximum Likelihood, Cross-Entropy, and the One-Hot Encoding when it comes to Deep Neural Networks theory. Watch the entire Playlist here: https://www.youtube.com/playlist?list=PLp_FpnyDwvuCU1GN376wUXG8vROXAtiFn ★ Watch the entire Playlist here: https://www.youtube.com/playlist?list=PLp_FpnyDwvuCU1GN376wUXG8vROXAtiFn _______ 🏠 Website → https://anifantakis.eu 🎬 All Videos: https://anifantakis.eu/videos/ 🕮 All Articles: https://anifantakis.eu/articles/ ✅ Subscribe for more videos → https://youtube.com/ioannisanifantakis 👍 Follow me • LinkedIn: https://www.linkedin.com/in/anifantakis/ • Medium: https://ioannisanif.medium.com/ • Twitter: https://twitter.com/ioannisa • GitHub: https://github.com/ioannisa _______ #DeepLearning #CrossEntropy #OneHotEncoding #ErrorFunctions #LogisticRegression #NeuralNetworks

Видео Deep Learning Tutorial - 04 Maximum Likelihood, Cross-Entropy, One-Hot Encoding - Logistic Regrssio автора Математический анализ: Профессиональное обучение