Description
Deep Learning prerequisite: The Numpy stack in Python (V2+), depending on the training needs of deep learning in the Python programming language. These requirements include Numpy modules, etc. Scipy., Pandas and Matplotlib, which is training. all teach you and you need to develop deep learning and artificial intelligence, synthetic preparation. Nowadays, many people at Daniel learn these concepts and technologies, but many of them continue the hands, because with the module, the necessary this dating no. One of these modules, Numpy, is called . This module is the basis of everything else, is to build tables that are used, which are designed to modify and accelerate, accordingly we can from them to build the matrix are operational, such as multiplication and addition, they also used .
The next Pandas module is called . This library for building a DataFrame (similar to R language) is designed, which is for processing and managing huge volumes of information is very useful. To help this module, doing things like filtering, applying functions and combining is simply done. Matplotlib module to draw various graphs such as linear and histogram and Scipy module also to calculate the statistical profile used. Using this module, values like PDF and CDF can look like you. from a sampling distribution and test statistics do . Generally, if you want to enter the world of deep learning and artificial intelligence scoring). mastering these modules is vital for this package, the training… you with the… applications, etc. the functions, and whatever the module are to provide are for you to learn this.
What things to learn:
- Machine learning tracking, like categories, and regression using an example, the real world, and Scikit-Learn
- How to use Numpy etc. Scipy, etc. Matplotlib and Pandas for implementing numerical algorithms
- How to implement a Stack in Numpy
- Learn the differences and the strengths and weaknesses of the different models, machine learning
- And …
This training is for people who:
- People inexperienced or experienced with Numpy, who want to learn later, in depth and in machine
- People who previously for machine learning or data science have tried but failed
Deep Learning prerequisite: The Numpy stack in Python (V2+):
- Publisher: Udemy
- Instructor: Lazy Programmer Inc.
- French language
- Level of training: from beginner to advanced
- Number of lessons: 50
- Duration Time: 5 hours and 54 minutes
Main seasons
Preconditions
- Understanding Linear Algebra and Gaussian Distribution
- Be comfortable with coding in Python
- You should already know “why” things like dot product, matrix inversion and Gaussian probability distributions are useful and what they can be used for
Prerequisite for Deep Learning: the Numpy stack in Python (V2+)
sample movie
Installation guide
After extracting with the player, your custom view.
Subtitles: English
Quality: 720p
Changes:
Version 2020/11 compared to 2020/5 at least 3 lessons, and about half an hour increase.
Download link
Password file(s): ngaur.com
File size
1.43 GB