Published on: 2024-05-20 05:39:51
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Data Science: Deep Learning and Neural Networks in Python is the name of the Neural Networks and Deep Learning Bootcamp published by Udemy Academy. This course will get you started building your first artificial neural network using deep learning techniques and building full nonlinear neural networks using Python and Numpy. This course extends the previous binary classification model to multiple classes using the softmax function and derives a very important training method called “backpropagation” using first principles. It will show you how to find first the “slow way” and then the “fast way” in Numpy coding using Numpy features. Then, it implements a neural network using Google’s new TensorFlow library.If you are interested in starting your journey to become a deep learning master, or if you are interested in machine learning and data science in general, you should take this course. We’re going beyond basic models like logistic regression and linear regression, and I’m going to show you something that automatically learns features. This course gives you lots of practical examples so you can really see how deep learning can be used in anything. During the course, we will do a course project, which will show you how to predict user actions on a website given user data, such as whether that user is on a mobile device or not. , the number of products viewed, the duration of their stay. on your site, whether they are returning visitors or not, and what time of day they visited.Another project at the end of the course will show you how to use deep learning for facial expression recognition. Imagine being able to predict someone’s feelings based on just one photo! After familiarizing yourself with the basics, a brief overview of some of the most recent developments in neural networks—slightly modified architectures and their use cases—is presented.
Publisher: Udemy
Moderator: Lazy Programmer Inc.
Language: English
Education level: introductory to advanced
Number of courses: 90
Duration of training: 12 hours and 7 minutes
Being familiar with the content of my logistic regression course (cross-entropy cost, gradient descent, neurons, XOR, donut) will give you the proper context for this course
After Extract, view with your favorite Player.
Subtitle: English
Quality: 1080p
Changes:
Version 2023/12 compared to 2021/6 has increased the number of 1 lesson and the duration of 54 minutes. Also, the Quality of the course has increased from 720p to 1080p.
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