The Deep Learning Masterclass: Classify Images With Keras! Online Course

The Deep Learning Masterclass: Classify Images with Keras!

All levels
English

Course Description

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 Eduonix 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 do not get lost with the rest of the crowd.

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What you’ll learn

The Deep Learning Masterclass: Make a Keras Image Classifier
This course was funded by a wildly successful Kickstarter
At Day 3 we dive into machine learning and neural networks.
In Day 4 we go headfirst into Keras and understanding the API and Syntax.
At Day 5 we explore the CIFAR-10 image dataset.

Covering Topics

Section 1 : Learn to Use PyCharm

Section 2 : Learn Python Language Basics

Section 3 : Understand Machine Learning Neural Networks

Section 4 : Explore the Keras API

Section 5 : Format Datasets and Examine CIFAR-10

Section 6 : Build the Image Classifier Model

Section 7 : Save and Load Trained Models

Curriculum

  Section 1 : Learn to Use PyCharm
1
Bootcamp Intro Preview
2
Intro to PyCharm
3
Downloading and Installing
4
Exploring PyCharm Interface
5
Add and Run Python Files Preview
6
Building and Running a Simple Program

  Section 2 : Learn Python Language Basics
7
Introduction
8
Variables Syntax And Basic Types
9
Variable Operations Preview
10
Tuples and Lists
11
Dictionaries
12
If Statements
13
While and For In Loops
14
Function Implementation and Execution
15
Parameters and Return Values Preview
16
Intro to Classes and Objects
17
Subclasses and Superclasses
18
Summary and Outro

  Section 3 : Understand Machine Learning Neural Networks
19
Intro to Day 3 Preview
20
Intro to Machine Learning
21
Intro to Neutral Networks
22
Intro to Convolutions

  Section 4 : Explore the Keras API
23
Intro to Day 4
24
Intro To TensorFlow And Keras
25
Understanding Keras Syntax
26
Intro to Activation Functions

  Section 5 : Format Datasets and Examine CIFAR-10
27
Intro to Day 5
28
Exploring CIFAR10 Dataset
29
Understanding Specific Data Points
30
Formatting Input Images

  Section 6 : Build the Image Classifier Model
31
Intro to Day 6
32
Building the Model
33
Compiling and Training the Model
34
Gradient Descent and Optimizers

  Section 7 : Save and Load Trained Models
35
Intro to Day 7
36
Saving and Loading Model to H5
37
Saving Model to Protobuf File
38
BootCamp Summary

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