Updated in May 2025. This course now features 糖心vlog官网观看 Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Are you ready to become a deep learning expert? This step-by-step course guides you from basic to advanced levels in deep learning using Python, the hottest language for machine learning. Each tutorial builds on previous knowledge and assigns tasks solved in the next video. You will: - Learn to train machines to predict like humans by mastering data preprocessing, general machine learning concepts, and deep neural networks (DNNs). - Cover the architecture of neural networks, the Gradient Descent algorithm, and implementing DNNs using NumPy and Python. - Understand DNN methodologies with real-world datasets, such as the IRIS dataset. Designed for those interested in data science or advancing their skills in DNNs, this course requires a background in deep learning and a basic understanding of Python and mathematics will be helpful. It鈥檚 clear and beginner-friendly, teaching theoretical concepts followed by practical implementation.
Multi-Class Problem
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Skills You'll Learn
Data Cleansing, Artificial Neural Networks, Deep Learning, Performance Tuning, Pandas (Python Package), Supervised Learning, Data Processing, Regression Analysis, Feature Engineering, NumPy, Machine Learning Algorithms, Network Architecture, Python Programming
From the lesson
Basics of Deep Learning
Taught By
Packt - Course Instructors