File tree 1 file changed +5
-10
lines changed
Cats vs Dogs Audio Classification using DL
1 file changed +5
-10
lines changed Original file line number Diff line number Diff line change @@ -10,12 +10,11 @@ This project focuses on classifying audio clips to determine whether the sound i
10
10
4 . [ 🛠️ Project Workflow] ( #project-workflow )
11
11
5 . [ 🧠 Models Used] ( #models-used )
12
12
6 . [ 📦 Libraries Needed] ( #libraries-needed )
13
- 7 . [ 📈 Visualization] ( #visualization )
14
- 8 . [ 📏 Evaluation Metrics] ( #evaluation-metrics )
15
- 9 . [ 🏆 Results] ( #results )
16
- 10 . [ 🔍 Conclusion] ( #conclusion )
17
- 11 . [ 🔮 Future Work] ( #future-work )
18
- 12 . [ 🙏 Acknowledgements] ( #acknowledgements )
13
+ 7 . [ 📏 Evaluation Metrics] ( #evaluation-metrics )
14
+ 8 . [ 🏆 Results] ( #results )
15
+ 9 . [ 🔍 Conclusion] ( #conclusion )
16
+ 10 . [ 🔮 Future Work] ( #future-work )
17
+ 11 . [ 🙏 Acknowledgements] ( #acknowledgements )
19
18
20
19
## 🎯 Goal
21
20
The primary objective is to classify sounds as either a cat's meow 🐱 or a dog's bark 🐶 using deep learning models.
@@ -46,10 +45,6 @@ To run this project, you will need the following libraries:
46
45
- ` matplotlib==3.6.0 ` 📊
47
46
- ` tensorflow==2.6.0 ` 🧠
48
47
49
- ## 📈 Visualization
50
- #### Spectrogram Samples
51
- ![ spectrograms] ( https://github.com/achrekarom12/DL-Simplified/assets/88442486/60beef49-8cf1-45f8-ab2f-494fdada0eea )
52
-
53
48
## 📏 Evaluation Metrics
54
49
The models are assessed using the following metrics:
55
50
- ** Accuracy** 📊
You can’t perform that action at this time.
0 commit comments