Udemy – Deep Learning Prerequisites – Numpy Stack in Python (V2+) 2022-11 – Download

explanation

Deep Learning Prerequisites: Numpy Stack in Python (V2+) as per the Deep Learning training requirements in the programming language Python. These requirements include Numpy modules, etc. Scipy., Pandas and Matplotlib are the training. All of them teach you and you need to develop deep learning and machine intelligence and synthesis preparation. There are many people learning these concepts and techniques from Daniel these days, but many of them are still trying their hand at it. Because if you use modules you don’t need this date. One of these modules is called Numpy. This module is the foundation for everything else and is what builds the arrays used, designed to be modified and speeded up. As a result, we can build operable matrices such as multiplication and addition.

The next module is Pandas. This library for building DataFrames (similar to the R language) is designed for processing and managing huge amounts of information and is very useful. Filtering, applying features, combining, etc. are done in a simple way to help this module. There is also a Matplotlib module for drawing various graphs such as linear and histograms, and a Scipy module for calculating the statistical profiles used. To help with this module, can values like PDF and CDF actually be you? It is performed on distribution sampling and test statistics. If you want to enter the world of deep learning and artificial intelligence scoring in general). Familiarity with this module is essential for teaching the applications and more in this package. All the features and modules offer is to make you learn them.

What you will learn:

Monitor machine learning such as categorization and regression with the help of real-world and Scikit-Learn examples.
Matplotlib and Pandas for implementing numerical algorithms such as Sypy, including how to use Numpy
How to implement a stack in Numpy
Learn about the differences and pros and cons of various models and machine learning.
and…

This training is suitable for:

People who have no or no experience with Numpy and want to learn deep learning and machine learning later.
People who have previously tried machine learning or scientific data without success

Specifications Deep Learning Prerequisites: Numpy Stack in Python (V2+):

Publisher: Udemy
Instructor: Lazy Programmers Inc
Language: English
Education level: Beginner to advanced
Number of courses: 51
Duration: 6 hours 8 minutes

head season

Deep Learning Prerequisites: Numpy Stack in Python (V2+)

precondition

Understand linear algebra and Gaussian distribution
Get familiar with Python coding.
You should already know “why” things like dot products, matrix inversions, and Gaussian probability distributions are useful and what they can be used for.

Figure Deep Learning Prerequisites: Numpy Stack in Python (V2+)

Deep Learning Prerequisite: Numpy Stack in Python (V2+)

sample video

installation manual

Custom view after extraction to player.

Subtitles: English

Quality: 1080p

Changes:

The 2020/11 version has a minimum of 3 lessons and an increase of approximately 30 minutes compared to the 2020/5 version.

The 2022/11 version has increased the number of lessons per lesson and 14 minutes in length compared to the 2020/11 version. Additionally, course quality has been improved from 720p to 1080p.