Practical Machine Learning with Tensorflow free videos and free material uploaded by Indian Institute of Technology Bombay (IIT Bombay). This session contains about Practical Machine Learning with Tensorflow Updated syllabus , Lecture notes , videos , MCQ , Privious Question papers and Toppers Training Provided Training of this course. If Material not uploaded check another subject
Overview of Tensorflow.
Machine Learning Refresher.
Steps in Machine Learning Process. Loss Functions in Machine Learning.
Gradient Descent.Gradient Descent Variations.
Model Selection and Evaluation.
Machine Learning Visualization.
Deep Learning Refresher.
Introduction to Tensors.
Mathematical Foundations of Deep Learning - Contd..
Building Data Pipelines for Tensorflow - Part 1.
Building Data Pipelines for Tensorflow - Part 2.
Building Data Pipelines for Tensorflow - Part 3.
Text Processing with Tensorflow.
Classify Images.
Regression.
Classify Structured Data.
Text Classification.
nderfitting and Overfitting.
Save and Restore Models.
CNNs-Part 1.
CNNs-Part 2.
Transfer learning with pretrained CNNs.
ransfer learning with TF hub.
Image classification and Visualization.
Estimator API.
Logistic Regression.
Boosted Trees.
Introduction to word embeddings.
Recurrent Neural Networks Part 1.
Recurrent Neural Networks Part 2.
Time Series Forecasting with RNNs. Text Generation with RNNs.
COURSE OUTLINE: This will be an applied Machine Learning Course jointly offered by Google and IIT's. We will cover the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After this course, the students will be able to build ML models using Tensorflow.
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