Udemy – Unsupervised Deep Learning in Python 2018-11

Description

Unsupervised Deep Learning in Python is the name of a video tutorial on data science and Python. In this course you will learn the logic of machine learning. Where you learn how to use Python data science and gain in-depth learning. In this course, we have tried to prepare the most basic content for you. This means that by choosing this course, you will not waste your time and you will learn the most important and main things from the first moment.

All the step-by-step tutorials in this course will eventually familiarize you with the limited Boltzmann machines, deep neural networks, t-SNE and PCA. In fact, this course is considered as a useful course. By watching this course carefully and completely, you will gain a very comprehensive understanding of machine learning. This course is actually recommended for people who want to improve their deep learning skills.

Features of the Unsupervised Deep Learning course in Python

Understand the concept of PCA and perform advanced analysis

Familiarity with PCA algorithm and how to use it in your work

Understand t-SNE theory and how to use it in coding

Familiarity with the types of PCA and t-SNE restrictions

Learn how to build an automatic encoder in Theano and Tensorflow

Course details:

Duration: 10h 26m

English language

Number of chapters: 14

Number of courses: 82

Instructor: Lazy Programmer Team

Prerequisites for Unsupervised Deep Learning in Python

Knowledge of calculus and linear algebra

Python coding skills

Some experience with Numpy, Theano, and Tensorflow

Know how gradient descent is used to train machine learning models

Install Python, Numpy, and Theano

Some probability and statistics knowledge

Code a feedforward neural network in Theano or Tensorflow

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p