03. Design and Build a TensorFlow Input Data Pipeline/10. Optional Lab Intro TFRecord and tf.Example.mp4 2.3 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/09. Lab Intro Optional Lab Advanced Logistic Regression in TensorFlow 2.0.mp4 2.3 MB
03. Design and Build a TensorFlow Input Data Pipeline/06. Lab Intro Loading Image Data.mp4 2.0 MB
02. Introduction to TensorFlow/04. Lab Intro Introduction to Tensors and Variables.mp4 1.9 MB
03. Design and Build a TensorFlow Input Data Pipeline/13. Lab Intro Manipulating data with Tensorflow Dataset API.mp4 1.7 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/07. Lab Intro Logistic Regression.mp4 1.4 MB
03. Design and Build a TensorFlow Input Data Pipeline/08. Lab Intro Feature Columns.mp4 1.2 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/05. Lab intro Keras Sequential API.mp4 1.2 MB
03. Design and Build a TensorFlow Input Data Pipeline/04. Lab Intro Load CSV and Numpy Data.mp4 880.3 kB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/11. Training neural networks with Tensorflow 2 and the Keras Sequential API- Readings.mp4 248.4 kB
05. Training neural networks with Tensorflow 2 and Keras Functional API/08. Training neural networks with Tensorflow 2 and Keras Functional API- Readings.mp4 240.4 kB
03. Design and Build a TensorFlow Input Data Pipeline/17. Design and Build a TensorFlow Input Data Pipeline- Readings.mp4 234.8 kB
03. Design and Build a TensorFlow Input Data Pipeline/16. Lab- Feature Analysis Using TensorFlow Data Validation and Facets.mp4 228.5 kB
07. Course Resource/01. Course Slides for Introduction to TensorFlow.mp4 228.0 kB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/08. Lab- [ML on GCP C3] Basic Introduction to Logistic Regression.mp4 226.7 kB
02. Introduction to TensorFlow/09. Introduction to TensorFlow- Readings.mp4 225.5 kB
03. Design and Build a TensorFlow Input Data Pipeline/05. Lab- Load CSV, Numpy, and Text data in TensorFlow.mp4 222.0 kB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/10. Lab- Advanced Logistic Regression in TensorFlow.mp4 221.2 kB
06. Summary/02. Quiz Questions to ALL Lessons.mp4 221.1 kB
03. Design and Build a TensorFlow Input Data Pipeline/07. Lab- Loading images Using tf.Data.Dataset.mp4 218.7 kB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/06. Lab- Introducing the Keras Sequential API.mp4 217.3 kB
02. Introduction to TensorFlow/06. Lab- Introduction to Tensors and Variables.mp4 217.0 kB
05. Training neural networks with Tensorflow 2 and Keras Functional API/07. Lab- Introducing the Keras Functional API.mp4 215.5 kB
03. Design and Build a TensorFlow Input Data Pipeline/09. Lab- Introduction to Feature Columns.mp4 213.2 kB
03. Design and Build a TensorFlow Input Data Pipeline/11. Lab- TFRecord and tf.Example.mp4 211.0 kB
03. Design and Build a TensorFlow Input Data Pipeline/14. Lab- TensorFlow Dataset API.mp4 209.6 kB
05. Training neural networks with Tensorflow 2 and Keras Functional API/01. Neural Networks with Keras Functional API.srt 15.0 kB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/02. Activation functions.srt 13.4 kB
02. Introduction to TensorFlow/03. Components of TensorFlow- Tensors and Variables.srt 12.7 kB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/04. Neural Networks with Keras Sequential API.srt 12.3 kB
06. Summary/01. Course Summary.srt 11.2 kB
02. Introduction to TensorFlow/01. Introduction to Tensorflow.srt 10.3 kB
03. Design and Build a TensorFlow Input Data Pipeline/03. Getting the data ready for model training.srt 10.1 kB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/03. Activation functions- Pitfalls to avoid in Backpropagation.srt 9.6 kB
05. Training neural networks with Tensorflow 2 and Keras Functional API/04. Regularization- Dropout.srt 8.0 kB
03. Design and Build a TensorFlow Input Data Pipeline/12. Training on Large Datasets with tf.data API.srt 7.7 kB
05. Training neural networks with Tensorflow 2 and Keras Functional API/02. Regularization- The Basics.srt 7.7 kB
05. Training neural networks with Tensorflow 2 and Keras Functional API/03. Regularization- L1, L2, and Early Stopping.srt 7.7 kB
02. Introduction to TensorFlow/02. TensorFlow API Hierarchy.srt 7.5 kB
02. Introduction to TensorFlow/05. Getting Started With GCP And Qwiklabs.srt 5.7 kB
03. Design and Build a TensorFlow Input Data Pipeline/02. Working in-memory and with files.srt 5.5 kB
03. Design and Build a TensorFlow Input Data Pipeline/01. Overview.srt 5.5 kB
05. Training neural networks with Tensorflow 2 and Keras Functional API/05. Serving models in the Cloud.srt 4.9 kB
01. Introduction to course/01. Intro to Course.srt 4.3 kB
03. Design and Build a TensorFlow Input Data Pipeline/15. Optional Lab Intro Feature Analysis Using TensorFlow Data Validation and Facets.srt 2.0 kB
02. Introduction to TensorFlow/04. Lab Intro Introduction to Tensors and Variables.srt 1.5 kB
03. Design and Build a TensorFlow Input Data Pipeline/10. Optional Lab Intro TFRecord and tf.Example.srt 1.4 kB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/09. Lab Intro Optional Lab Advanced Logistic Regression in TensorFlow 2.0.srt 1.3 kB
05. Training neural networks with Tensorflow 2 and Keras Functional API/06. Lab intro Keras Functional API.srt 1.3 kB