Deep Learning Using Tensor Flow - Classifying System for Fashion Images - Computer Science Assignment Help

Assignment Task :

You are going to present the ideas to the others (or just me)
In your groups:
1. As a group decide whether you want to focus on the topic in general or specific area.
2. Decide how are you going to present this (it doesn't need to be on a screen - can be on paper)
3. Suggestions: Perhaps there are two roles - researchers collecting the information and collator putting it together to make a coherent 'story'. I would suggestion rotating the roles within the group to enable the input from all members.
4. Prepare an oral presentation for the show and tell section that shows what you came up with. You will be stopped 5 minutes before the end of the activity to make a start on the individual activity (this can. in fact should be, continued outside the class) Individually 
Add to the list produce produced in the previous activity with anything that adds to 
1. What I have learnt during this activity?
2. What did I explain to someone else and how did I explain it?
3. How I think I can apply what I have learnt in the future activity?
If more than one Group

As a group ask other groups at least one from the following for each group's work:

• How did you do that?
• I like what you did, but why did you do it that way?
•  

Purpose
Online activity to look at Deep Learning using TensorFlow
Task
Questions to be answered by the end of the session (i and ii) 

• Can you see potential applications of DeepLearning and Image Processing? If so where?
• What do you understand about the term overfitting?
• Advanced: What can we do to potentially improve the prediction on the test data, minimise overfitting with this example?

2. Running either Google Colab or Via GitHub run the worksheet produced a classifying system for fashion images.
3. If you run CoLab version you need to connect using the connect menu at the top of the worksheet.
4.  To follow the worksheet look for the [ ] symbols that should turn into play buttons when your cursor is over them. Click on the play button at each stage to carry out the action. You can ignore the warnings that occur.
 

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