Learn Convolutional Neural Networks for Visual Recognition and the building blocks and methods associated with them.
Introducing "Deep Learning: CNNs for Visual Recognition"
Unleash the true potential of deep learning and embark on an enthralling journey through the world of Convolutional Neural Networks (CNNs). As one of the most powerful and widely adopted deep learning techniques, CNNs have revolutionized computer vision and transformed industries, from e-commerce to autonomous vehicles.
Dive deep into the mesmerizing realm of visual intelligence, where you'll unravel the intricacies of CNNs, their core principles, cutting-edge applications, and their unparalleled role in image enhancement and visualization. This comprehensive course is meticulously crafted to provide an immersive experience that combines theoretical knowledge and hands-on learning.
Throughout this course, you'll explore:
The fundamentals of CNNs, including layers and architectures
CNN-driven image classification and segmentation
Artistic applications such as DeepDream and style transfer
Super-resolution for stunning image quality
Generative Adversarial Networks (GANs) for creative image synthesis
Designed for learners with a basic understanding of deep learning principles, computer vision, and engineering math, this course will empower you to implement CNNs in your own projects, crafting captivating visualizations that defy imagination.
Seize the opportunity to transform your skills and unlock the door to a world of visual intelligence. Enroll in "Deep Learning: CNNs for Visual Recognition" today and witness your future unfold!
Get a practical deep dive into machine learning and deep learning algorithms
Explore CNN applications, visualization, and image enhancement
Understand the advantages and trade-offs of various CNN architectures
6 Lectures
2 Lectures
2 Lectures
Skillbox, LLC specializes in technical training via on-demand streaming. We are committed to providing students professional development, networking, and learning opportunities through our educational content. Our instructors are industry leading experts in the subjects they teach, because they continue to spend time working on real-world industry applications. They are expert trainers – able to communicate complex concepts clearly, understandably and...
Too fast, Little examples
Course was good,vocabulary is to fast to understand
sOUND AND VOICE NOT CLEAR
There were a lot of jargon, although explained, that made the lectures some what hard to understand. Also, the lectures only gave the theoretical parts of convolutional neural networks, while I expected some practical application of the knowledge taught from the lectures.
Estava à espera de mais exemplos. I was hoping to be given more examples.
Doing a quick pass first to get an idea of the overall structure and then will review in more detail later.
This assumes far more initial knowledge than I have. She is discussing filters - what is a filter?
This course requires fairly advanced prior knowledge of machine learning. This was not made clear prior to signing up.
코드 예시가 없어 실질적인 진행이 없음
Kod yok uygulama yok. paramı geri istiyorum
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Jorge C.
Ha sido una buena eleccion. La informacion presentada es relevante y bien explicada.