Video Transcript:

Auto Scroll Hide
Module NameDownload
noc20_cs44_assigment_1noc20_cs44_assigment_1
noc20_cs44_assigment_2noc20_cs44_assigment_2
noc20_cs44_assigment_3noc20_cs44_assigment_3
noc20_cs44_assigment_4noc20_cs44_assigment_4
noc20_cs44_assigment_5noc20_cs44_assigment_5
noc20_cs44_assigment_6noc20_cs44_assigment_6
noc20_cs44_assigment_7noc20_cs44_assigment_7
noc20_cs44_assigment_8noc20_cs44_assigment_8


Sl.No Chapter Name MP4 Download
1Overview of TensorflowDownload
2Machine Learning RefresherDownload
3Steps in Machine Learning ProcessDownload
4Loss Functions in Machine LearningDownload
5Gradient DescentDownload
6Gradient Descent VariationsDownload
7Model Selection and EvaluationDownload
8Machine Learning VisualizationDownload
9Deep Learning RefresherDownload
10Introduction to TensorsDownload
11Mathematical Foundations of Deep Learning - Contd.Download
12Building Data Pipelines for Tensorflow-Part 1Download
13Building Data Pipelines for Tensorflow-Part 2Download
14Building Data Pipelines for Tensorflow-Part 3Download
15Text Processing with TensorflowDownload
16Classify ImagesDownload
17RegressionDownload
18Classify Structured DataDownload
19Text ClassificationDownload
20Underfitting and OverfittingDownload
21Save and Restore ModelsDownload
22CNNs-Part 1Download
23CNNs-Part 2Download
24Transfer learning with pretrained CNNsDownload
25Transfer learning with TF hubDownload
26Image classification and visualizationDownload
27Estimator APIDownload
28Logistic RegressionDownload
29Boosted TreesDownload
30Introduction to word embeddingsDownload
31Recurrent Neural Networks (Part 1)Download
32Recurrent Neural Networks (Part 2)Download
33Time Series Forecasting with RNNsDownload
34Text Generation with RNNs.Download
35TensorFlow CustomizationDownload
36Customizing tf.keras - Part 1Download
37Customizing tf.keras - Part 2Download
38TensorFlow Distributed TrainingDownload

Sl.No Chapter Name English
1Overview of TensorflowDownload
Verified
2Machine Learning RefresherDownload
Verified
3Steps in Machine Learning ProcessDownload
Verified
4Loss Functions in Machine LearningDownload
Verified
5Gradient DescentDownload
Verified
6Gradient Descent VariationsDownload
Verified
7Model Selection and EvaluationDownload
Verified
8Machine Learning VisualizationDownload
Verified
9Deep Learning RefresherDownload
Verified
10Introduction to TensorsDownload
Verified
11Mathematical Foundations of Deep Learning - Contd.Download
Verified
12Building Data Pipelines for Tensorflow-Part 1Download
Verified
13Building Data Pipelines for Tensorflow-Part 2Download
Verified
14Building Data Pipelines for Tensorflow-Part 3Download
Verified
15Text Processing with TensorflowDownload
Verified
16Classify ImagesDownload
Verified
17RegressionDownload
Verified
18Classify Structured DataDownload
Verified
19Text ClassificationDownload
Verified
20Underfitting and OverfittingDownload
Verified
21Save and Restore ModelsDownload
Verified
22CNNs-Part 1Download
Verified
23CNNs-Part 2Download
Verified
24Transfer learning with pretrained CNNsDownload
Verified
25Transfer learning with TF hubDownload
Verified
26Image classification and visualizationDownload
Verified
27Estimator APIDownload
Verified
28Logistic RegressionDownload
Verified
29Boosted TreesDownload
Verified
30Introduction to word embeddingsDownload
Verified
31Recurrent Neural Networks (Part 1)Download
Verified
32Recurrent Neural Networks (Part 2)Download
Verified
33Time Series Forecasting with RNNsDownload
Verified
34Text Generation with RNNs.Download
Verified
35TensorFlow CustomizationDownload
Verified
36Customizing tf.keras - Part 1Download
Verified
37Customizing tf.keras - Part 2Download
Verified
38TensorFlow Distributed TrainingDownload
Verified


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available