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The Deep Learning Masterclass: Classify Images with Keras

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The Deep Learning Masterclass: Classify Images with Keras, available at $49.99, has an average rating of 4.3, with 46 lectures, based on 83 reviews, and has 482 subscribers.

You will learn about Use PyCharm and run Python files and programs on the interface Brush up on the fundamentals and fix bad coding habits in the #1 Python programming language Understand and use machine learning and neural networks with core concepts and examples Get a solid grasp of using convolutions Learn to use the Keras API and Syntax Get to know TensorFlow, the open source machine learning framework for everyone Explore the CIFAR-10 image dataset Build an image classifier model from scratch Classify images by training a model Get all source files for your quick reference And much more! This course is ideal for individuals who are People who want to learn machine learning concepts through practical projects with Keras, PyCharm, Python and TensorFlow or Anyone who wants to learn the technology that is shaping how we interact with the world around us It is particularly useful for People who want to learn machine learning concepts through practical projects with Keras, PyCharm, Python and TensorFlow or Anyone who wants to learn the technology that is shaping how we interact with the world around us.

Enroll now: The Deep Learning Masterclass: Classify Images with Keras

Summary

Title: The Deep Learning Masterclass: Classify Images with Keras

Price: $49.99

Average Rating: 4.3

Number of Lectures: 46

Number of Published Lectures: 46

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 46

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

  • Use PyCharm and run Python files and programs on the interface
  • Brush up on the fundamentals and fix bad coding habits in the #1 Python programming language
  • Understand and use machine learning and neural networks with core concepts and examples
  • Get a solid grasp of using convolutions
  • Learn to use the Keras API and Syntax
  • Get to know TensorFlow, the open source machine learning framework for everyone
  • Explore the CIFAR-10 image dataset
  • Build an image classifier model from scratch
  • Classify images by training a model
  • Get all source files for your quick reference
  • And much more!

Who Should Attend

  • People who want to learn machine learning concepts through practical projects with Keras, PyCharm, Python and TensorFlow
  • Anyone who wants to learn the technology that is shaping how we interact with the world around us

Target Audiences

  • People who want to learn machine learning concepts through practical projects with Keras, PyCharm, Python and TensorFlow
  • Anyone who wants to learn the technology that is shaping how we interact with the world around us

“Very clear and babysteps-wise so far.”

The Deep Learning Masterclass: Make a Keras Image Classifier

Welcome to this epic masterclass on Keras (and so much more) with our #1 data scientist and app developer Nimish Narang, creator of over 20 Mammoth Interactive courses and a top-seller on Udemy.

This course was funded by a wildly successful Kickstarter

Anyone can take this course. No experience is required. If you already have experience using PyCharmand running Pythonfiles and programs on the interface, you can simply skip ahead to whatever section best suits your needs. Or, you can follow the progression of this meticulously curated course especially designed to take any absolute beginner off the street and make them a data modeler.

This course is divided into days, but of course you can learn at your own pace. In Day 2 we teach you all the fundamentals of the Python programming language. If you already have experience coding in this popular language, brushing up on the fundamentals and fixing bad coding habits is a great exercise. If you are a beginner this section ensures you don’t get lost with the rest of the crowd.

At Day 3 we dive into machine learning and neural networks. 

You also get an introduction to convolutions. These are hot topics that are in high demand in the market. If you can use this new technology to your advantage you are pretty much guaranteed a job! Everyone is desperate for employees with these skills.

In Day 4 we go headfirst into Kerasand understanding the APIand Syntax. 

You also get to know TensorFlow, the open source machine learning framework for everyone.

At Day 5 we explore the CIFAR-10image dataset. Then we are ready to build our very own image classifier model from scratch. You will learn how to classify images by training a model. 

We’re going to have a lot of fun, and you’ll have complete projects to put on your resume immediately. 

Join now in this NEW Mammoth Interactive bootcamp course!

Course Curriculum

Chapter 1: DAY 1: Learn to Use PyCharm

Lecture 1: Bootcamp Introduction

Lecture 2: Introduction to PyCharm

Lecture 3: Downloading and Installing

Lecture 4: Exploring PyCharm Interface

Lecture 5: Add and Run Python Files

Lecture 6: Building and Running a Simple Program

Chapter 2: DAY 2: Learn Python Language Basics

Lecture 1: Introduction to Python Language Basics

Lecture 2: Variables Syntax and Basic Types

Lecture 3: Variable Operations

Lecture 4: Tuples and Lists

Lecture 5: Dictionaries

Lecture 6: If Statements

Lecture 7: While Loops and For In Loops

Lecture 8: Function Implementation and Execution

Lecture 9: Parameter and Return Values

Lecture 10: Introduction to Classes and Objects

Lecture 11: Subclasses and Superclasses

Lecture 12: Summary and Outro

Chapter 3: DAY 3: Understand Machine Learning Neural Networks

Lecture 1: Introduction to Machine Learning Neural Networks

Lecture 2: Introduction to Machine Learning

Lecture 3: Introduction to Neutral Networks

Lecture 4: Introduction to Convolutions

Chapter 4: DAY 4: Explore the Keras API

Lecture 1: Introduction to the Keras API

Lecture 2: Introduction to TensorFlow and Keras

Lecture 3: Understanding Keras Syntax

Lecture 4: Introduction to Activation Functions

Chapter 5: DAY 5: Format Datasets and Examine CIFAR-10

Lecture 1: Introduction to Datasets and CIFAR-10

Lecture 2: Exploring CIFAR-10 Dataset

Lecture 3: Understanding Specific Data Points

Lecture 4: Formatting Input Images

Chapter 6: DAY 6: Build the Image Classifier Model

Lecture 1: Introduction to the Image Classifier Model

Lecture 2: Building the Model

Lecture 3: Compiling and Training the Model

Lecture 4: Gradient Descent and Optimizer

Chapter 7: DAY 7: Save and Load Trained Models

Lecture 1: Introduction to Saving and Loading

Lecture 2: Saving and Loading Model to H5

Lecture 3: Saving Model to Protobuf File

Lecture 4: Bootcamp Summary

Chapter 8: Source Material

Lecture 1: Source Code: Learn Python Language Basics

Lecture 2: Texts Assets: Understand Machine Learning Neural Networks

Lecture 3: Texts Assets: Explore the Keras API

Lecture 4: Asset Files: Format Datasets and Examine CIFAR-10

Lecture 5: Asset Files: Build the Image Classifier Model

Lecture 6: Asset Files: Save and Load Trained Models

Chapter 9: Bonus

Lecture 1: Please rate this course

Lecture 2: Bonus Lecture

Instructors

Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 3 votes
  • 3 stars: 8 votes
  • 4 stars: 29 votes
  • 5 stars: 38 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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