Download Udacity – Become a Deep Reinforcement Learning Expert v1.0.0

Description

Become a Deep Reinforcement Learning Expert is a deep reinforcement learning course published by the Udacity specialized academy. Deep reinforcement learning is one of the technologies related to artificial intelligence and deep learning that has been used in a wide range of industries, the most important of which are video games and robotics. Among the most important algorithms of this technique, we can mention DQN (Deep Q-Networks) and DDPG (Deep Deterministic Policy Gradients), which are used in various projects such as self-driving cars. With the help of these algorithms, different operators and neural networks can be trained to perform very complex and time-consuming tasks with high accuracy. At the end of this training course, you will create a complete portfolio and be ready to enter the job market.

Apple, Google, and Facebook are among the most important companies that have made countless advances in the field of deep reinforcement learning algorithms and are investing. This training course is an advanced and completely specialized course, and before starting this course, students must have a relative mastery of topics such as Python programming principles and basics, statistics and probabilities, machine learning and deep learning, etc.

What you will learn in the Become a Deep Reinforcement Learning Expert course:

• Principles and foundations of reinforcement learning
• Architecture and development patterns of deep learning-based systems
• Receiving, storing and interpreting remote sensing data
• Evolutionary algorithm
• Designing and developing advanced algorithms to train and train simulated and virtual robots

Course details

Publisher: Udacity
teacher: Alexis Cook ,Arpan Chakraborty ,Matt Leonard ,Luis Serrano ,Cezanne Camacho ,Dana Sheahan ,Chhavi Yadav ,Juan Delgado And Miguel Morales
English language
Training level: advanced
Number of courses: 42
Duration of training: assuming 10 to 15 hours of work per week, about 4 months

Course headings

Part 01: Introduction to Deep Reinforcement Learning

Module 01: Introduction to Deep Reinforcement Learning

Part 02: Value-Based Methods

Module 01: Value-Based Methods

Module 02: Career Services

Part 03: Policy-Based Methods

Module 01: Policy-Based Methods

Module 02: Career Services

Part 04: Multi-Agent Reinforcement Learning

Module 01: Multi-Agent Reinforcement Learning

Part 05 (Elective): Special Topics in Deep Reinforcement Learning

Module 01: Special Topics in Deep Reinforcement Learning

Part 06 (Elective): Neural Networks in PyTorch

Module 01: Neural Networks in PyTorch

Part 07 (Elective): Computing Resources

Module 01: Computing Resources

Part 08 (Elective): C++ Programming

Module 01: C++ Basics

Module 02: Performance Programming in C++

Prerequisites of the Become a Deep Reinforcement Learning Expert course

What are the prerequisites for enrollment?
We recommend that you complete a course in Deep Learning equivalent to the Deep Learning Nanodegree program prior to entering the program. You will need to be able to communicate fluently and professionally in written and spoken English.
Additionally, you should have the following knowledge:

• Intermediate Python programming knowledge, including:

Strings, numbers, and variables Statements, operators, and expressions Lists, tuples, and dictionaries Conditions, loops Generators & comprehensions Procedures, objects, modules, and libraries Troubleshooting and debugging Research & documentation Problem solving Algorithms and data structures
Basic shell scripting:

• Run programs from a command line
• Debug error messages and feedback
• Set environment variables
• Establish remote connections

Basic statistical knowledge, including:

• Populations, samples
• Mean, median, mode
• Standard error
• Variation, standard deviations
• Normal distribution

Intermediate differential calculus and linear algebra, including:

• Derivatives & Integrals
• Series expansions
• Matrix operations through eigenvectors and eigenvalues

What software and versions will I need in this program?

You will need a computer running a 64-bit operating system (most modern Windows, OS X, and Linux versions will work) with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.6 and supporting packages . Your network should allow secure connections to remote hosts (like SSH). We will provide you with instructions to install the required software packages.

Course images

Introduction video of Become a Deep Reinforcement Learning Expert course

Installation guide

In order to view the courses of the course in an organized and regular way, run the index.html file and run the videos through this file.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 196 MB

Password file(s): www.downloadly.ir

Size

2.2 GB