12-Neural-Networks-Models.md

Step 12. Neural Networks Models

Guideline

• Ask your coordinator for a detailed description of the step content before setting a deadline.

• For each study item and each task, you should post an update to LinkedIn, Twitter, and Telegram using the following hashtags: #cs_internship #[courseName] #[stepNumber]

• At the end of each week, you are supposed to give your coordinator a report including the following items:

  1. Links to all your posts during the last week specifying the relevant task or study item for each link, and also mention the exact date that each one of them were posted.
  2. How many hours did you spend on cs_internship last week?
  3. What percentage are you satisfied with what you did last week?

  You will have a session with a technical mentor based on your report.

Study Items

1. Python Machine Learning: Chapter 15 (Classifying Images with Deep Convolutional Neural Networks).
2. Python Machine Learning: Chapter 16 (Modeling Sequential Data Using Recurrent Neural Networks).
3. Python Machine Learning: Chapter 17 (Generative Adversarial Networks for Synthesizing New Data).

Tasks

1. Achieve Explainer badge on StackOverflow.
2. Pass all lessons on TypingClub.com with 5 stars up to lesson 429.
3. Extracting features from the image and generate a english sentence that describes the image that is called Caption (data).
4. Exactly 7 days before your deadline, ask your coordinator to schedule a live presentation session for you on your deadline day.
5. Hold your step presentation on LinkedIn. Guidelines on how to present are provided on this page.