Udemy – Deep Learning Prerequisites – The Numpy Stack in Python (V2+) 2022-11 – Downloadly
Description
Deep learning requirements: The Numpy stack in Python (V2+), depending on the training requirements for deep learning in the Python programming language. These requirements include the modules Numpy etc. Scipy., the pandas and Matplotlib, which is the training. They all teach you and you have to develop the deep learning and machine intelligence and prepare for the synthesis. Nowadays, many people learn about these concepts and technologies, but many of them remain in hand because this dating with the module is not necessary. One of these modules is called Numpy. This module is the foundation for everything else used to create arrays intended for modification and speed. As a result, we can create the matrix from this, which is operational, such as: B. Multiplication and addition, which they also use.
The next module is called Pandas. This library is designed to build a DataFrame (similar to the R language), which is very useful for processing and managing large amounts of information. To support this module, things like filtering, applying functions, and combining are done easily. Matplotlib module used to draw various graphs like the linear and histogram and Scipy module also used to calculate the statistical profile. To support this module, the values such as PDF and CDF can represent the real you. do sample and test statistics from a distribution. In general, if you want to get into the world of deep learning and artificial intelligence assessment. Mastering these modules is critical to this package, training…you with the…applications, etc. features and whatever the module is intended to provide is intended to teach you that.
What you should learn:
- Machine learning monitors, such as: B. Categories and regression using an example that is real and scikit-learn
- How to use Numpy etc. Scipy etc. Matplotlib and Pandas to implement numerical algorithms
- How to implement a stack in Numpy
- Learn the differences, strengths and weaknesses of different models and machine learning
- And…
This training is suitable for people who:
- People who are inexperienced or experienced with Numpy and want to learn deep and machine learning later.
- People who have tried to use machine learning or scientific data before but have not had success
Specifications Deep Learning Requirements: The Numpy Stack in Python (V2+):
- Publisher: Udemy
- Instructor: Lazy Programmer Inc
- Language: English
- Training level: from beginner to advanced
- Number of courses: 51
- Duration: 6 hours and 8 minutes
Peak seasons
requirements
- Understand linear algebra and Gaussian distribution
- Be familiar with programming in Python
- You should already know “why” things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for.
Images Deep Learning Requirements: The Numpy Stack in Python (V2+)
Example film
installation Guide
After extracting with the player you will get your custom view.
Subtitles: English
Quality: 1080p
Changes:
Version 2020/11 compared to 2020/5 at least 3 lessons and about half an hour more.
In the 2022/11 version, the number of lessons and the duration have been increased to 14 minutes compared to 2020/11. Additionally, the quality of the course has been increased from 720p to 1080p.
Download link
Password file(s): free software
File size
2.35GB