Deep Learning - Artificial Neural Networks with TensorFlow
Master Machine Learning and Neural Networks for Data Science
Created by Lazy Programmer
Explore how to build deep neural networks using TensorFlow 2 and understand the core principles behind artificial neural networks. You'll dive into machine learning basics, classification, and regression, while also seeing how biological neural networks inspire deep learning models.
Packt | Feb 2023 | 287 min
What You Will Learn
You will start by exploring foundational machine learning concepts, then move on to hands-on coding exercises that guide you through building and training neural networks in TensorFlow 2. Along the way, you'll practice applying loss functions and optimization strategies to improve your models.
Key Features
- Build and train deep neural networks using TensorFlow 2 for real-world tasks
- Apply key loss functions and optimization techniques to improve model performance
- Understand the link between artificial and biological neural networks for deeper insight
Target Audience
Perfect for data science enthusiasts, software engineers, or analysts with solid Python skills who want to deepen their understanding of deep learning. If you're comfortable with libraries like NumPy and Matplotlib and want to build and optimize neural networks, you'll find this course a great fit.
