Welcome to Deep Learning Tutorial Series! In this comprehensive playlist, we dive into the fascinating world of deep learning, exploring the fundamental concepts and techniques that power groundbreaking advancements in artificial intelligence. In each video of this playlist, we focus on a specific topic related to deep learning, providing clear explanations and step-by-step guidance to help you grasp the underlying principles. Whether you're new to the field or seeking to deepen your understanding, this playlist is designed to cater to learners at various levels of expertise.
Don't forget to subscribe to the channel and hit the notification bell to stay updated as we release new videos in this deep learning tutorial series. Together, let's unlock the transformative potential of deep learning and revolutionize the world with intelligent systems.
Deep Learning Pre-requisites (Machine Learning):
- Linear Regression: [ Ссылка ]
- Gradient Descent: [ Ссылка ]
- Logistic Regression: [ Ссылка ]
- All Loss Function in One Video: [ Ссылка ]
- Bias and Variance: [ Ссылка ]
- Full Machine Learning Playlist: [ Ссылка ]
Machine Learning Pre-requisites (Maths):
- Intro to Linear Algebra: [ Ссылка ]
- Calculus in one video: [ Ссылка ]
- Statistics in One Video : [ Ссылка ]
- Probability Foundation in One Video : [ Ссылка ]
- Mathematics for MACHINE LEARNING full playlist : [ Ссылка ]
- SQL for Data Science full playlist : [ Ссылка ]
Connect with me on LinkedIn: [ Ссылка ]
Follow us on Instagram: [ Ссылка ]
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