Stochastic Gradient Descent Courses and Certifications

Stanford CS221 - Artificial Intelligence: Principles and Techniques - Autumn 2021

2 ratings

Master AI fundamentals through Stanford's comprehensive exploration of machine learning, search algorithms, probabilistic models, logic systems, and real-world applications.

• YouTube
• 1 day 7 hours 10 minutes
• Self-Paced
• Free Video

AI TIME：随机梯度方法的学习理论

AI TIME：随机梯度方法的学习理论

• XuetangX
• Self-Paced
• Free Online Course

Deep Learning Essentials

10 ratings at Coursera

Explore neural networks, perceptrons, and deep learning fundamentals. Master backpropagation, stochastic gradient descent, and kernel methods through Python coding assignments.

• Coursera
• 15 hours 41 minutes
• Self-Paced
• Paid Course

Fundamentals of Natural Language Processing

17 ratings at Coursera

Explore the foundations of NLP through probabilistic language models, neural networks, and vector-based meaning representations, learning to implement N-gram models, text classifiers, and word embeddings.

• Coursera
• 1 day 6 minutes
• Self-Paced
• Paid Course

Applied Natural Language Processing in Engineering Part 1

Discover NLP fundamentals from text classification to neural networks, optimization techniques, word embeddings, and parsing methods for engineering applications.

• Coursera
• 1 day 3 hours 45 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Deep Learning and Neural Networks

Master deep learning fundamentals, from neural network basics to advanced CNNs. Explore backpropagation, regularization techniques, and practical applications using TensorFlow and Keras. Ideal for tech professionals and students.

• Coursera
• 14 hours 19 minutes
• Self-Paced
• Paid Course

Intro to Deep Learning

4 ratings

Use TensorFlow and Keras to build and train neural networks for structured data.

• Kaggle
• 4 hours
• Self-Paced
• Free Certificate

Stanford Seminar - Deep Learning in Speech Recognition

Explore deep learning's evolution and impact on speech recognition, from early AI to modern applications like Siri, covering key concepts, historical milestones, and practical implementations.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Online Course

Information Theory of Deep Learning - Naftali Tishby

Explores the connection between deep learning and information theory, offering new insights into neural network design, generalization, and optimization through an information bottleneck framework.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

Foundations of Machine Learning

Explore foundational ML concepts including optimization, linear regression, overparametrization, and generative models, bridging classical theory with modern state-of-the-art approaches.

• Swayam
• Self-Paced
• Free Online Course

Practical Deep Learning for Coders - Full Course

Comprehensive introduction to deep learning, covering theory and practical applications. Learn to build and deploy models, understand ethics, and explore various AI techniques. No advanced math required.

• freeCodeCamp
• 11 hours
• Self-Paced
• Free Video

Clustering & Classification

Discover k-means clustering and logistic regression to segment data into meaningful groups and predict class membership probabilities with practical applications.

• Brilliant
• Self-Paced
• Paid Course

Practical Deep Learning for Coders

A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.

• Independent
• 2 hours
• Self-Paced
• Free Online Course

Google DeepMind: 03 Design And Train Neural Networks

Master neural network design and training, covering backpropagation, overfitting mitigation, and MLPs, with hands-on coding labs and real-world AI case studies.

• Google Skills
• 4 hours
• Self-Paced
• Free Online Course

StatQuest with Josh Starmer

Gradient Descent, Step-by-Step

Comprehensive step-by-step explanation of Gradient Descent, covering its application in Machine Learning, optimization techniques, and variations like Stochastic Gradient Descent.

• YouTube
• 24 minutes
• Self-Paced
• Free Video