Udemy – Unsupervised Deep Learning in Python 2018-11 – Downloadly
Description
We can use unsupervised deep learning in Python, the name of the training video series in the field of science, data and Python development. This course will introduce you to the logic of machine learning. Here you will learn how the science of data helps Python and learn the depth. In this course we try to be prepared for you with the most basic content. This means that you choose this course because you will definitely not miss it and you will learn the most important and original content from the first moment.
All the training you received step by step during this time, and finally the limitation to machines, Boltzmann, etc. Deep neural networks, t-SNE and PCA were familiar. In fact, this period is considered a useful period. If you look at the exact course and complete it, you will find that you will find a very comprehensive, learning car. This course is aimed at people who want to deeply improve their learning skills.
Of course, we can use unsupervised deep learning in Python
- Understand the concept of PCA and perform analysis at an advanced level
- Introduction to algorithms, PCA and their use in the workplace
- Understand the theory of t-SNE and how to use it when coding
- Familiarity with a variety of constraints, PCA and t-SNE
- Learn how to automatically build the encoder in Theano and Tensorflow
- And…
Profile courses:
- Duration: 10h 26m
- Language: English
- Number of seasons: 14
- Number of lessons: 82
- Lecturer: Lazy Programmer Team
In peak season, we can use unsupervised deep learning in Python
If necessary, we can use unsupervised deep learning in Python
- Knowledge of analysis and linear algebra
- Python coding knowledge
- Some experience with Numpy, Theano and Tensorflow
- Learn how to use gradient descent to train machine learning models
- Install Python, Numpy and Theano
- Some knowledge of probability and statistics
- Code a feedforward neural network in Theano or Tensorflow
Pictures
Example film
installation Guide
After extracting with the player you will get your custom view.
Subtitles: English
Quality: 720p
Download link
Password file(s): free software
File size
2.14GB