Manpreet Singh Ghotra has more than 15 years of experience in software development for both enterprise and big data software. He is currently working on developing a machine learning platform/API's using open source libraries and frameworks like TensorFlow, Keras, Apache Spark and PredictionIO at Salesforce. He has worked on various machine learning systems like sentiment analysis, spam detection, image moderation and anomaly detection. He was part of the machine learning group at one of the largest online retailers in the world, working on transit time calculations using R and Apache Mahout. With a master's and a postgraduate degree in machine learning, he has contributed to and worked for the machine learning community. Rajdeep Dua has over 18 years of experience in the cloud, big data, and machine learning space. He has worked in the advocacy team for Google's big data tools, BigQuery. He has worked on the Greenplum big data platform at VMware in the developer evangelist team.He also worked closely with a team on porting Spark to run on VMware's public andprivate cloud as a feature set. He has taught Spark and big data at some of the mostprestigious tech schools in India--IIIT Hyderabad, ISB, IIIT Delhi, and College ofEngineering, Pune.Currently, he leads the developer relations team at Salesforce India. He has published numerous blogs and hands-on labs for Einstein, a machine learning library from Salesforce and Apache Prediction IO.He has published several big data and Spark tutorials at cluddatalab. He has also presented BigQuery and Google App Engine at the W3C conference in Hyderabad. He has led the developer relations teams at Google, VMware, and Microsoft, and he has spoken at hundreds of other conferences on the cloud.His contributions to the open source community are for Docker, Kubernetes, Android,OpenStack, Prediction IO, and cloudfoundry projects.

• Table of Contents Maths for Neural NetworksDeep Feedforward NetworksOptimization for Neural NetworksConvolutional Neural NetworksRecurrent Neural NetworksGenerative ModelsDeep Belief NetworksAutoencodersDeeplearning Research and SummaryGetting Started with Tensorflow

Manpreet Singh Ghotra has more than 15 years of experience in software development for both enterprise and big data software. He is currently working on developing a machine learning platform/API's using open source libraries and frameworks like TensorFlow, Keras, Apache Spark and PredictionIO at Salesforce. He has worked on various machine learning systems like sentiment analysis, spam detection, image moderation and anomaly detection. He was part of the machine learning group at one of the largest online retailers in the world, working on transit time calculations using R and Apache Mahout. With a master's and a postgraduate degree in machine learning, he has contributed to and worked for the machine learning community. Rajdeep Dua has over 18 years of experience in the cloud, big data, and machine learning space. He has worked in the advocacy team for Google's big data tools, BigQuery. He has worked on the Greenplum big data platform at VMware in the developer evangelist team.He also worked closely with a team on porting Spark to run on VMware's public andprivate cloud as a feature set. He has taught Spark and big data at some of the mostprestigious tech schools in India--IIIT Hyderabad, ISB, IIIT Delhi, and College ofEngineering, Pune.Currently, he leads the developer relations team at Salesforce India. He has published numerous blogs and hands-on labs for Einstein, a machine learning library from Salesforce and Apache Prediction IO.He has published several big data and Spark tutorials at cluddatalab. He has also presented BigQuery and Google App Engine at the W3C conference in Hyderabad. He has led the developer relations teams at Google, VMware, and Microsoft, and he has spoken at hundreds of other conferences on the cloud.His contributions to the open source community are for Docker, Kubernetes, Android,OpenStack, Prediction IO, and cloudfoundry projects.

• Table of Contents Maths for Neural NetworksDeep Feedforward NetworksOptimization for Neural NetworksConvolutional Neural NetworksRecurrent Neural NetworksGenerative ModelsDeep Belief NetworksAutoencodersDeeplearning Research and SummaryGetting Started with Tensorflow

Manpreet Singh Ghotra has more than 15 years of experience in software development for both enterprise and big data software. He is currently working on developing a machine learning platform/API's using open source libraries and frameworks like TensorFlow, Keras, Apache Spark and PredictionIO at Salesforce. He has worked on various machine learning systems like sentiment analysis, spam detection, image moderation and anomaly detection. He was part of the machine learning group at one of the largest online retailers in the world, working on transit time calculations using R and Apache Mahout. With a master's and a postgraduate degree in machine learning, he has contributed to and worked for the machine learning community. Rajdeep Dua has over 18 years of experience in the cloud, big data, and machine learning space. He has worked in the advocacy team for Google's big data tools, BigQuery. He has worked on the Greenplum big data platform at VMware in the developer evangelist team.He also worked closely with a team on porting Spark to run on VMware's public andprivate cloud as a feature set. He has taught Spark and big data at some of the mostprestigious tech schools in India--IIIT Hyderabad, ISB, IIIT Delhi, and College ofEngineering, Pune.Currently, he leads the developer relations team at Salesforce India. He has published numerous blogs and hands-on labs for Einstein, a machine learning library from Salesforce and Apache Prediction IO.He has published several big data and Spark tutorials at cluddatalab. He has also presented BigQuery and Google App Engine at the W3C conference in Hyderabad. He has led the developer relations teams at Google, VMware, and Microsoft, and he has spoken at hundreds of other conferences on the cloud.His contributions to the open source community are for Docker, Kubernetes, Android,OpenStack, Prediction IO, and cloudfoundry projects.

• Table of Contents Maths for Neural NetworksDeep Feedforward NetworksOptimization for Neural NetworksConvolutional Neural NetworksRecurrent Neural NetworksGenerative ModelsDeep Belief NetworksAutoencodersDeeplearning Research and SummaryGetting Started with Tensorflow