Certificate in Deep Learning with Caffe2

Deep Learning with Caffe2

About Deep Learning with Caffe2

A deep learning framework called Caffe was first created at the University of California, Berkeley. It is BSD-licensed and open-source. It has a Python interface and is developed in C++.

Why is Deep Learning with Caffe2 important?

Caffe2 is primarily intended for industrial use. It is designed for applications needing extensive object detection and picture categorization. Scalable systems and cross-platform support are its key focuses.

Who should take the Deep Learning with Caffe2 Exam?

• Data scientists 
• Machine learning enthusiasts
• Staff Software Engineer

Deep Learning with Caffe2 Certification Course Outline

1. Why Deep Learning?
2. Machine Learning Categories
3. Install and Set Up Caffe2
4. Introduce Workspace, Operators, and Nets
5. Housing Price Prediction
6. Training a Linear Regression Model
7. What Is Supervised Learning?
8. Fine-Tune a Model for Recognizing Fashion Products
9. What Are RNNs and LSTMs?
10. Why Deep Reinforcement Learning?
11. What Is Deep Reinforcement Learning?
12. AI on Mobile Devices Using Face ID
13. Set Up Caffe2 on Linux
14. Understanding the Caffe2 Architecture
15. Transitioning from Machine Learning to Deep Learning
16. Running an Image Classifier Using Caffe2
17. Learn about Matrices Using Python – NumPy
18. Understanding and Implementing Logistic Regression and Neural Networks
19. Understanding and Implementing Deep Neural Networks
20. Caffe2 Introduction