3.85 out of 5
3.85
34 reviews on Udemy

The Deep Learning Masterclass: Classify Images with Keras

Build models with Python, TensorFlow, PyCharm, API & CIFAR-10. Learn machine learning, neural networks, & convolutions!
Instructor:
Mammoth Interactive
248 students enrolled
English [Auto-generated]
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!

“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 PyCharm and running Python files 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 Keras and understanding the API and Syntax. 

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

At Day 5 we explore the CIFAR-10 image 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!

DAY 1: Learn to Use PyCharm

1
Bootcamp Introduction
2
Introduction to PyCharm
3
Downloading and Installing
4
Exploring PyCharm Interface
5
Add and Run Python Files
6
Building and Running a Simple Program

DAY 2: Learn Python Language Basics

1
Introduction to Python Language Basics
2
Variables Syntax and Basic Types
3
Variable Operations
4
Tuples and Lists
5
Dictionaries
6
If Statements
7
While Loops and For In Loops
8
Function Implementation and Execution
9
Parameter and Return Values
10
Introduction to Classes and Objects
11
Subclasses and Superclasses
12
Summary and Outro

DAY 3: Understand Machine Learning Neural Networks

1
Introduction to Machine Learning Neural Networks
2
Introduction to Machine Learning
3
Introduction to Neutral Networks
4
Introduction to Convolutions

DAY 4: Explore the Keras API

1
Introduction to the Keras API
2
Introduction to TensorFlow and Keras
3
Understanding Keras Syntax
4
Introduction to Activation Functions

DAY 5: Format Datasets and Examine CIFAR-10

1
Introduction to Datasets and CIFAR-10
2
Exploring CIFAR-10 Dataset
3
Understanding Specific Data Points
4
Formatting Input Images

DAY 6: Build the Image Classifier Model

1
Introduction to the Image Classifier Model
2
Building the Model
3
Compiling and Training the Model
4
Gradient Descent and Optimizer

DAY 7: Save and Load Trained Models

1
Introduction to Saving and Loading
2
Saving and Loading Model to H5
3
Saving Model to Protobuf File
4
Bootcamp Summary

Source Material

1
Source Code: Learn Python Language Basics

Get source files here!

2
Texts Assets: Understand Machine Learning Neural Networks
3
Texts Assets: Explore the Keras API
4
Asset Files: Format Datasets and Examine CIFAR-10
5
Asset Files: Build the Image Classifier Model
6
Asset Files: Save and Load Trained Models

Bonus

1
Please rate this course
2
Bonus Lecture
You can view and review the lecture materials indefinitely, like an on-demand channel.
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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Includes

6 hours on-demand video
8 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion