From the course: Deep Learning with Python: Convolutional Neural Networks
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Continuing with deep learning - Python Tutorial
From the course: Deep Learning with Python: Convolutional Neural Networks
Continuing with deep learning
- [Instructor] Congrats on completing "Deep Learning with Python Convolutional Neural Networks". You now understand what Computer Vision is and how it's evolved over time. You also have a better understanding of image data, how to pre-process it and how to augment it. You learn what a Convolutional Neural Network is and the layers that make up the architecture of these types of networks Through hands-on practice, you trained your own CNN in Python using CARES. You also explored advanced CNN based architectures and learned how to apply pre-trained models for a variety of tasks, including Image Classification, Object Detection, and Image Segmentation. The knowledge you have acquired in this course is an essential stepping stone towards further exploration in the field of "Deep Learning". So what comes next? Here are some recommendations to continue building your expertise. The best way to reinforce your learning is to apply it. Take on real world computer vision challenges that push you…