Deep Learning Basics practice
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1. Practice Deep Learning Basics overview by building one step of a small real project feature and checking the result.
code-writing1. Start from the Deep Learning Basics overview lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
2. Practice Deep Learning Basics setup by building one step of a small real project feature and checking the result.
code-fix1. Start from the Deep Learning Basics setup lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
3. Practice Deep Learning Basics syntax by building one step of a small real project feature and checking the result.
output1. Start from the Deep Learning Basics syntax lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
4. Practice Deep Learning Basics examples by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Deep Learning Basics examples lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
5. Practice Deep Learning Basics workflow by building one step of a small real project feature and checking the result.
true-false1. Start from the Deep Learning Basics workflow lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
6. Practice Deep Learning Basics validation by building one step of a small real project feature and checking the result.
mini-project1. Start from the Deep Learning Basics validation lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
7. Practice Deep Learning Basics debugging by building one step of a small real project feature and checking the result.
mcq1. Start from the Deep Learning Basics debugging lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
8. Practice Deep Learning Basics best practices by building one step of a small real project feature and checking the result.
code-writing1. Start from the Deep Learning Basics best practices lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
9. Practice Deep Learning Basics overview by building one step of a small real project feature and checking the result.
code-fix1. Start from the Deep Learning Basics overview lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
10. Practice Deep Learning Basics setup by building one step of a small real project feature and checking the result.
output1. Start from the Deep Learning Basics setup lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
11. Practice Deep Learning Basics syntax by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Deep Learning Basics syntax lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
12. Practice Deep Learning Basics examples by building one step of a small real project feature and checking the result.
true-false1. Start from the Deep Learning Basics examples lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
13. Practice Deep Learning Basics workflow by building one step of a small real project feature and checking the result.
mini-project1. Start from the Deep Learning Basics workflow lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
14. Practice Deep Learning Basics validation by building one step of a small real project feature and checking the result.
mcq1. Start from the Deep Learning Basics validation lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
15. Practice Deep Learning Basics debugging by building one step of a small real project feature and checking the result.
code-writing1. Start from the Deep Learning Basics debugging lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
16. Practice Deep Learning Basics best practices by building one step of a small real project feature and checking the result.
code-fix1. Start from the Deep Learning Basics best practices lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
17. Practice Deep Learning Basics overview by building one step of a small real project feature and checking the result.
output1. Start from the Deep Learning Basics overview lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
18. Practice Deep Learning Basics setup by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Deep Learning Basics setup lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.