Deep Learning Online Bootcamp Learn from industry experts for free Ongoing (20th Aug - 6th Sep'20)
An immersive community learning experience designed for beginners and intermediate learners
| Period | Modules | Live Sessions | Quizes/Assignments | Datathon |
|---|---|---|---|---|
| 18 days bootcamp | 15 learning modules | 5 live sessions | 6 quizzes/assignments | 1 Datathon on real-world dataset |
What you will Learn
| Day | Description | Slides | Notebook | |
|---|---|---|---|---|
| 1 | Introduction to Deep Learning | Link | - | - |
| 2 | Introduction to Neural Networks | - | - | - |
| 3 | Tensor Operations | Link | - | Link |
| 4 | Neural Networks for Regression | Link | - | Link |
| 5 | Working of Neural Network | Link | - | - |
| 6 | Binary Classification | Link | - | Link |
| 7 & 8 | Activation Functions, Optimizers & Multi-Class Classification | Link | - | Link |
| 9 & 10 | Optimizing a Neural Networks - Part 1 | Link | - | - |
| 11 | Optimizing Training of Neural Networks | Link | - | Link |
| 12 | Optimizing a Neural Networks - Part 2 | Link | - | Link |
| 13 | Computer Vision and OpenCV | Link | - | Link |
| 14 | CNN Essentials | Link | - | Link |
| Name | Objective | Data | Evaluation Criteria | Leaderboard | Link | Notebook |
|---|---|---|---|---|---|---|
| Object Recognition | Your task here is to build a deep learning model that helps you recognize the object in images and predict the class of the image. (class ranges from 1 to 10) | Dataset Link | Accuracy Score = 78.05 | #58 | LINK | Notebook Link |
| Name | Objective | Data | Evaluation Criteria | Leaderboard | Link | Notebook |
|---|---|---|---|---|---|---|
| Recognize Animals | Your task here is to build a deep learning model that helps you recognize the animal or bird in images (5 classes) | Dataset Link | Accuracy Score = 96.373626 | #21 | LINK | Notebook Link |
| Name | Objective | Data | Evaluation Criteria | Leaderboard | Link | Notebook |
|---|---|---|---|---|---|---|
| Face Mask Detection | Your task here is to build a machine/deep learning model to detect face masks | Dataset Link | Accuracy Score = 99.804688 | #3 | LINK | Notebook Link |
| Name | Objective | Data | Evaluation Criteria | Leaderboard | Link | Notebook |
|---|---|---|---|---|---|---|
| Bank Marketing | Predict if a Customer will subscribe the product or not | Dataset Link | F1-Score = 62.3507228158391 | #15 | LINK | Notebook Link |