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Pasirink mokymo programą ir žiūrėk vertingų įžvalgų kupinus aukščiausio lygio kursus
Dabar žiūri
94 Studentų
42 Paskaitos
Pradedantysis

Ko išmoksi šiame kurse?

  • Learn to code how the PROs code - not just copy and paste Build Real Projects - You'll get to build projects that help you retain what you've learned Build awesome apps that can make predictions Build amazing apps that can classify human handwriting

Mokymo programa

6val. 52min.
2 skyrius: Python Basics
37:28
Functions, Conditionals, & Loops in Python
09:50
Arrays & Tuples in Python
13:52
Importing Modules in Python
05:22
3 skyrius: Building a Classification Model
1:07:44
Intro to the Iris Dataset
03:28
Datasets: Features & Labels Explained
07:39
Loading the Iris Dataset / Examining & Preparing Data
09:27
Creating / Training a KNeighborsClassifier
09:42
Testing Prediction Accuracy with Test Data
12:08
Building Our Own KNeighborsClassifier
18:00
What is scikit-learn- Why use it-
03:52
Installing scikit-learn & scipy with Anaconda
03:28
4 skyrius: Building a Convolutional Neural Network
2:02:06
What is Keras? Why use it?
08:01
What is a Convolutional Neural Network (CNN)?
26:30
Installing Keras with Anaconda
04:38
Preparing Dataset for a CNN
17:38
Building / Visualizing a CNN using Sequential: Part 1
14:07
Building / Visualizing a CNN using Sequential: Part 2
19:40
Training CNN / Evaluating Accuracy / Saving to Disk
17:53
Switching Python Environments / Converting to Core ML Model
13:39
5 skyrius: Building a Handwriting Recognition App
1:13:39
Intro to App – Handwriting
02:56
Building Interface / Wiring Up
11:42
Drawing On Screen
21:01
Importing Core ML Model / Reading Metadata
05:16
Utilizing Core ML / Vision to Make Prediction
17:31
Handling / Displaying Prediction Results
15:13
6 skyrius: Core ML Basics
1:20:37
Intro to App – Core ML Photo Analysis
04:25
What is Machine Learning?
07:46
What is Core ML?
05:03
Creating Xcode Project
02:43
Building ImageVC in Interface Builder / Wiring Up
07:40
Creating ImageCell & Subclass / Wiring Up
08:13
Creating FoodItems Helper File
07:02
Creating Custom 3x3 Grid UICollectionViewFlowLayout
09:12
Choosing, Downloading, Importing Core ML Model
05:18
Passing Images Through Core ML Model
12:18
Handling Core ML Prediction Results
09:42
Challenge – Core ML Photo Analysis
01:15

Aprašymas

Reikalavimai

  • Must have a computer with OSX or macOS on it

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