Practical Deep Learning Projects

learn to apply Deep Learning and machine learning Algorithms and real world deep learning projects in Python
New
Rating: 4.9 out of 5 (8 ratings)
1,259 students
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Train deep learning algorithms on real world cases
Build Deep learning models

Requirements

  • Should Know Basics of Machine Learning

Description

Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to self-learn and improve over time without being explicitly programmed. In short, machine learning algorithms are able to detect and learn from patterns in data and make their own predictions.

In traditional programming, someone writes a series of instructions so that a computer can transform input data into a desired output. Instructions are mostly based on an IF-THEN structure: when certain conditions are met, the program executes a specific action.

Machine learning, on the other hand, is an automated process that enables machines to solve problems and take actions based on past observations.

Basically, the machine learning process includes these stages:

  1. Feed a machine learning algorithm examples of input data and a series of expected tags for that input.

  2. The input data is transformed into text vectors, an array of numbers that represent different data features.

  3. Algorithms learn to associate feature vectors with tags based on manually tagged samples, and automatically makes predictions when processing unseen data.

While artificial intelligence and machine learning are often used interchangeably, they are two different concepts. AI is the broader concept – machines making decisions, learning new skills, and solving problems in a similar way to humans – whereas machine learning is a subset of AI that enables intelligent systems to autonomously learn new things from data.

Who this course is for:

  • Want to build real world deep learning projects

Course content

3 sections18 lectures1h 54m total length
  • Introduction
    01:51
  • importing libraries
    04:24
  • EDA-1
    07:23
  • EDA-2 correlations
    06:45
  • Model building
    15:43
  • Download the project files
    00:01

Instructor

Machine Learning Engineer
TheMachineLearning.Org .
  • 4.0 Instructor Rating
  • 724 Reviews
  • 31,511 Students
  • 16 Courses

TheMachineLearning. org mission is to make highly valuable career skills in machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you. TheMachineLearning. org leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by optimizing processes, maximizing efficiency and increasing profitability.