Deep Learning Course with Flutter & Python - Build 6 AI Apps
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- Curriculum
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Join the most comprehensive Flutter & Deep Learning course on Udemy and learn how to build amazing state-of-the-art Deep Learning applications!
Do you want to learn about State-of-the-art Deep Learning algorithms and how to apply them to IOS/Android apps? Then this course is exactly for you! You will learn how to apply various State-of-the-art Deep Learning algorithms such as GAN’s, CNN’s, & Natural Language Processing. In this course, we will build 6 Deep Learning apps that will demonstrate the tools and skills used in order to build scalable, State-of-the-Art Deep Learning Flutter applications!
After completing this course you will be able to:
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Learn the tools and skills to develop any AI idea you have onto a mobile phone.
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Have a clear understanding of different types of Neural Networks and how you can use them to your advantage.
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Build any Neural Networks in Python and then export them into your Flutter application.
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Use different strategies to get neural networks with 90%+ accuracy.
Why should you choose this course?
This course covers all the steps that one should take to create a Flutter application that uses State-of-the-Art Deep Learning approaches.
It is extremely hard to find good tutorials that teach you how to implement these algorithms, so the instructor, Samuel Boylan-Sajous, who has been programming for years, and has a Computer Science degree at the University of Guelph, has decided to share all of his knowledge with other students that are passionate about Deep Learning and building practical A.I. applications.
Here’s what’s included in the course:
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Building a neural network on Teachable Machine and exporting it into Flutter project
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Building a neural network in Keras/Python on Google Collab/Jupyter Notebook and exporting it into Flutter project
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Using API’s to perform some Natural Language Processing and implementing those algorithms into our app.
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Build a GAN in python and implement it into your flutter application.
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And much more!
This course is for you if …
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You’re interested in building real native mobile apps for the two most popular mobile platforms – iOS and Android
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You’re passionate about Deep Learning/AI or Mobile Development and want to expand your knowledge.
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You want to expand your Deep Learning/AI portfolio with 6 Cutting Edge Deep Learning apps!
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Want to learn State-of-the-Art Deep Learning algorithms and how you can use them on a mobile device!
Course prerequisites:
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Knowing mobile development will help a lot but is not a hard requirement (You would be fine if you only knew CSS/HTML & Object-Oriented Programming, just do some research on what Flutter is)
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Know some theory behind Neural Networks (Know how data is processed in a Neural Network)
Our Promise
Teaching our students is my job and I am committed to it. If you have any questions about the course content or anything related to any topic, you can always post a question in the course or send me a direct message.
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5CatvsDog Detector App ReviewVideo lesson
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6IntroductionVideo lesson
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7Importing assets & Configuring ProjectVideo lesson
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8Setting up Home - Part 1Video lesson
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9Setting up Home - Part 2Video lesson
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10Setting up Home - Part 3Video lesson
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11Reviewing the AppVideo lesson
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12Building our Neural NetworkVideo lesson
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13Loading our Model in FlutterVideo lesson
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14Passing Images to Neural Network for PredictionsVideo lesson
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15Finishing and Testing our app!Video lesson
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16IntroductionVideo lesson
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17Setting up the ProjectVideo lesson
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18Setting up Home - Part 1Video lesson
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19Setting up Home - Part 2Video lesson
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20Setting up Home - Part 3Video lesson
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21Google Colab IntroductionVideo lesson
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22Preprocessing our DataVideo lesson
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23Building our Neural Network & Exporting itVideo lesson
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24Finishing and Testing our app!Video lesson
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25IFruit App ReviewVideo lesson
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26Introduction & Setting up the ProjectVideo lesson
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27Setting up HomeVideo lesson
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28Getting Dataset & Starting new NotebookVideo lesson
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29Building our Neural Network - Part 1Video lesson
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30Building our Neural Network - Part 2Video lesson
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31Exporting neural networkText lesson
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32Sentiment Analysis App ReviewVideo lesson
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33Introduction & Setting up the ProjectVideo lesson
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34Setting up Home - Part 1Video lesson
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35Setting up Home - Part 2Video lesson
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36Setting up Home - Part 3Video lesson
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37Set up functions for API in Flutter AppVideo lesson
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38Implement API in Flutter App & FinalizingVideo lesson
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39Introduction & Setting up the ProjectVideo lesson
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40Setting up Home - Part 1Video lesson
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41Setting up Home - Part 2Video lesson
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42Creating Functions in HomeVideo lesson
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43Connecting to API Service Red HatVideo lesson
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44Fetching ResponseVideo lesson
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45Adding Logic & Testing APIVideo lesson
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46Live Camera Functionality - Part 1Video lesson
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47Live Camera Functionality - Part 2 & FinalizingVideo lesson
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48Introduction & Setting up the ProjectVideo lesson
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49Setting up HomeVideo lesson
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50Drawing functionality - Part 1Video lesson
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51Drawing functionality - Part 2Video lesson
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52Saving User SketchVideo lesson
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53Clear Sketch FunctionalityVideo lesson
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54Adding Logic & New ScreenVideo lesson
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55Building our Neural NetworkVideo lesson
Get the dataset here:
https://www.dropbox.com/sh/li7f5516vthdkww/AABh6SegmZPuqtbiQot0T8qga?dl=0
Get the GAN Python Notebook here:
https://www.dropbox.com/s/284ttsdsez96404/sketch2real.ipynb?dl=0
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56Going over Pix2Pix Algorithm & TrainingVideo lesson
Get the dataset here:
https://www.dropbox.com/sh/li7f5516vthdkww/AABh6SegmZPuqtbiQot0T8qga?dl=0
Get the GAN Python Notebook here:
https://www.dropbox.com/s/284ttsdsez96404/sketch2real.ipynb?dl=0
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57Reviewing our Neural NetworkVideo lesson
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58Flask IntroductionVideo lesson
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59Building a Flask Server to Deploy our Neural NetworkVideo lesson
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60Building our API for FlaskVideo lesson
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61Interacting with Flask & DebuggingVideo lesson
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