Mastering Deep Learning
Chuck Sherman
Dive into the captivating realm of artificial intelligence with "Mastering Deep Learning: From Fundamentals to Cutting-Edge Applications." This comprehensive guide is a must-have for both aspiring and experienced AI enthusiasts, offering an enlightening journey from the core principles of deep learning to the forefront of its revolutionary applications.
Unlock the mysteries of neural networks and delve into the intricate layers that power modern AI. Starting with the basics, this book provides a crystal-clear introduction to the fundamental concepts that underpin deep learning, making it accessible even to those with limited technical knowledge. As you progress, you'll grasp the inner workings of convolutional networks, recurrent networks, and attention mechanisms, gaining the knowledge needed to design your own intelligent systems.
What sets this book apart is its seamless transition from theory to practice. With hands-on examples and practical exercises, you'll seamlessly bridge the gap between abstract concepts and real-world implementations. Navigate through code snippets that bring algorithms to life and develop a deep intuition for their behavior. As you refine your skills, you'll find yourself ready to tackle challenges in various domains, including computer vision, natural language processing, and even advanced topics like generative adversarial networks.
Embark on a transformative journey that demystifies the intricacies of deep learning and propels you into the heart of AI innovation. "Mastering Deep Learning: From Fundamentals to Cutting-Edge Applications" is your essential companion in unraveling the mysteries of artificial intelligence and unleashing its boundless potential.
Duration - 4h 24m.
Author - Chuck Sherman.
Narrator - Ray Collins.
Published Date - Saturday, 06 January 2024.
Copyright - © 2024 Chuck Sherman ©.
Location:
United States
Description:
Dive into the captivating realm of artificial intelligence with "Mastering Deep Learning: From Fundamentals to Cutting-Edge Applications." This comprehensive guide is a must-have for both aspiring and experienced AI enthusiasts, offering an enlightening journey from the core principles of deep learning to the forefront of its revolutionary applications. Unlock the mysteries of neural networks and delve into the intricate layers that power modern AI. Starting with the basics, this book provides a crystal-clear introduction to the fundamental concepts that underpin deep learning, making it accessible even to those with limited technical knowledge. As you progress, you'll grasp the inner workings of convolutional networks, recurrent networks, and attention mechanisms, gaining the knowledge needed to design your own intelligent systems. What sets this book apart is its seamless transition from theory to practice. With hands-on examples and practical exercises, you'll seamlessly bridge the gap between abstract concepts and real-world implementations. Navigate through code snippets that bring algorithms to life and develop a deep intuition for their behavior. As you refine your skills, you'll find yourself ready to tackle challenges in various domains, including computer vision, natural language processing, and even advanced topics like generative adversarial networks. Embark on a transformative journey that demystifies the intricacies of deep learning and propels you into the heart of AI innovation. "Mastering Deep Learning: From Fundamentals to Cutting-Edge Applications" is your essential companion in unraveling the mysteries of artificial intelligence and unleashing its boundless potential. Duration - 4h 24m. Author - Chuck Sherman. Narrator - Ray Collins. Published Date - Saturday, 06 January 2024. Copyright - © 2024 Chuck Sherman ©.
Language:
English
Opening Credits
Duration:00:00:10
Chapter 1 Introduction to deep learning
Duration:00:17:09
Chapter 2 Neural networks fundamentals
Duration:00:16:47
Chapter 3 Building blocks of deep
Duration:00:13:58
Chapter 4 Convolutional neural networks
Duration:00:16:47
Chapter 5 Recurrent neural networks
Duration:00:40:39
Chapter 6 Generative models
Duration:00:12:46
Chapter 7 Natural language processing
Duration:00:15:22
Chapter 8 Reinforcement learning and
Duration:00:18:41
Chapter 9 Ethics and bias in deep
Duration:00:15:08
Chapter 10 Advanced topics in deep
Duration:00:17:30
Chapter 11 Practical implementation
Duration:00:17:33
Chapter 12 Case studies and applications
Duration:00:17:57
Chapter 13 Future directions and trends
Duration:00:15:05
Chapter 14 Hands on projects (with code
Duration:00:16:14
Epilogue Embracing the deep learning
Duration:00:12:44
Ending Credits
Duration:00:00:11