| Module Name | Download |
|---|---|
| noc20_cs44_assigment_1 | noc20_cs44_assigment_1 |
| noc20_cs44_assigment_2 | noc20_cs44_assigment_2 |
| noc20_cs44_assigment_3 | noc20_cs44_assigment_3 |
| noc20_cs44_assigment_4 | noc20_cs44_assigment_4 |
| noc20_cs44_assigment_5 | noc20_cs44_assigment_5 |
| noc20_cs44_assigment_6 | noc20_cs44_assigment_6 |
| noc20_cs44_assigment_7 | noc20_cs44_assigment_7 |
| noc20_cs44_assigment_8 | noc20_cs44_assigment_8 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Overview of Tensorflow | Download |
| 2 | Machine Learning Refresher | Download |
| 3 | Steps in Machine Learning Process | Download |
| 4 | Loss Functions in Machine Learning | Download |
| 5 | Gradient Descent | Download |
| 6 | Gradient Descent Variations | Download |
| 7 | Model Selection and Evaluation | Download |
| 8 | Machine Learning Visualization | Download |
| 9 | Deep Learning Refresher | Download |
| 10 | Introduction to Tensors | Download |
| 11 | Mathematical Foundations of Deep Learning - Contd. | Download |
| 12 | Building Data Pipelines for Tensorflow-Part 1 | Download |
| 13 | Building Data Pipelines for Tensorflow-Part 2 | Download |
| 14 | Building Data Pipelines for Tensorflow-Part 3 | Download |
| 15 | Text Processing with Tensorflow | Download |
| 16 | Classify Images | Download |
| 17 | Regression | Download |
| 18 | Classify Structured Data | Download |
| 19 | Text Classification | Download |
| 20 | Underfitting and Overfitting | Download |
| 21 | Save and Restore Models | Download |
| 22 | CNNs-Part 1 | Download |
| 23 | CNNs-Part 2 | Download |
| 24 | Transfer learning with pretrained CNNs | Download |
| 25 | Transfer learning with TF hub | Download |
| 26 | Image classification and visualization | Download |
| 27 | Estimator API | Download |
| 28 | Logistic Regression | Download |
| 29 | Boosted Trees | Download |
| 30 | Introduction to word embeddings | Download |
| 31 | Recurrent Neural Networks (Part 1) | Download |
| 32 | Recurrent Neural Networks (Part 2) | Download |
| 33 | Time Series Forecasting with RNNs | Download |
| 34 | Text Generation with RNNs. | Download |
| 35 | TensorFlow Customization | Download |
| 36 | Customizing tf.keras - Part 1 | Download |
| 37 | Customizing tf.keras - Part 2 | Download |
| 38 | TensorFlow Distributed Training | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Overview of Tensorflow | Download Verified |
| 2 | Machine Learning Refresher | Download Verified |
| 3 | Steps in Machine Learning Process | Download Verified |
| 4 | Loss Functions in Machine Learning | Download Verified |
| 5 | Gradient Descent | Download Verified |
| 6 | Gradient Descent Variations | Download Verified |
| 7 | Model Selection and Evaluation | Download Verified |
| 8 | Machine Learning Visualization | Download Verified |
| 9 | Deep Learning Refresher | Download Verified |
| 10 | Introduction to Tensors | Download Verified |
| 11 | Mathematical Foundations of Deep Learning - Contd. | Download Verified |
| 12 | Building Data Pipelines for Tensorflow-Part 1 | Download Verified |
| 13 | Building Data Pipelines for Tensorflow-Part 2 | Download Verified |
| 14 | Building Data Pipelines for Tensorflow-Part 3 | Download Verified |
| 15 | Text Processing with Tensorflow | Download Verified |
| 16 | Classify Images | Download Verified |
| 17 | Regression | Download Verified |
| 18 | Classify Structured Data | Download Verified |
| 19 | Text Classification | Download Verified |
| 20 | Underfitting and Overfitting | Download Verified |
| 21 | Save and Restore Models | Download Verified |
| 22 | CNNs-Part 1 | Download Verified |
| 23 | CNNs-Part 2 | Download Verified |
| 24 | Transfer learning with pretrained CNNs | Download Verified |
| 25 | Transfer learning with TF hub | Download Verified |
| 26 | Image classification and visualization | Download Verified |
| 27 | Estimator API | Download Verified |
| 28 | Logistic Regression | Download Verified |
| 29 | Boosted Trees | Download Verified |
| 30 | Introduction to word embeddings | Download Verified |
| 31 | Recurrent Neural Networks (Part 1) | Download Verified |
| 32 | Recurrent Neural Networks (Part 2) | Download Verified |
| 33 | Time Series Forecasting with RNNs | Download Verified |
| 34 | Text Generation with RNNs. | Download Verified |
| 35 | TensorFlow Customization | Download Verified |
| 36 | Customizing tf.keras - Part 1 | Download Verified |
| 37 | Customizing tf.keras - Part 2 | Download Verified |
| 38 | TensorFlow Distributed Training | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |