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[ CourseBoat com ] Literacy Essentials - Core Concepts Deep Learning
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Get Bonus Downloads Here.url (Size: 202.24 MB) (Files: 31)
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01. Course Overview
01. Course Overview.mp4
02. Introduction to Deep Learning
02. Course Introduction and Module Overview.mp4
03. What Is Deep Learning.mp4
04. Applications of Deep Learning in the Industry.mp4
05. Deep Learning Frameworks.mp4
06. Demo-Introduction to the Problem and Dataset.mp4
07. Demo-Setting up Your Environment.mp4
08. Module Summary.mp4
03. The Inner Workings of Deep Learning
09. Module Overview.mp4
10. The Perceptron-From Biological to Artificial Neurons.mp4
11. Activation Functions.mp4
12. The Design and Working of a Neural Network.mp4
13. Gradient Descent.mp4
14. Demo-Basic Dataset Exploration.mp4
15. Demo-Preparing the Data - Part 1.mp4
16. Demo-Preparing the Data - Part 2.mp4
17. Demo-Building Training and Evaluating a Neural Network.mp4
18. Module Summary.mp4
04. Types of Neural Networks and Their Uses
19. Module Overview.mp4
20. Convolutional Neural Networks.mp4
21. Recurrent Neural Networks.mp4
22. Long Short-term Memory Networks.mp4
23. Generative Adversarial Networks.mp4
24. Autoencoders.mp4
25. Module Summary and Course Feedback.mp4
Bonus Resources.txt
Exercise Files
02
introduction-to-deep-learning-slides.pdf
03
demos.ipynb
the-inner-workings-of-deep-learning-slides.pdf
04
types-of-neural-networks-and-their-uses-slides.pdf
Torrent description
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