Deep Learning with Applications Using Python

Industry-standard Deep Learning practices demonstrated
Detailed explanations of Face Recognition, Face Detection Algorithms, Object Detection Algorithms and Codes.
Comparative analysis of Watson, Azure, Amazon and other Open Sources

Industry-standard Deep Learning practices demonstrated Detailed explanations of Face Recognition, Face Detection Algorithms, Object Detection Algorithms and Codes Comparative analysis of Watson, Azure, Amazon and other Open Sources

Autorentext
Navin K Manaswi has been developing AI solutions/products with the use of cutting edge technologies and sciences related to artificial intelligence for many years. Having worked for consulting companies in Malaysia, Singapore and the Dubai Smart City project, he has developed a rare skill of delivering end-to-end data science solutions. He has been building solutions for video intelligence, document intelligence and human-like chatbots in his own company.

Inhalt

1. Basics of Tensorflow.- 2. Basics of Keras.- 3. Multilayered Perceptron.- 4. Regression to MLP in Tensorflow.- 5. Regression to MLP in Keras.- 6. CNN in Visuals.- 7. CNN with Tensorflow.- 8. CNN with Keras.- 9. RNN and LSTM .- 10. Speech to Text and Vice Versa.- 11. Developing Chatbots.- 12. Face Detection and Face Recognition.