Deep Learning with Applications Using Python, 1st ed. Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Auteur : Manaswi Navin Kumar
- Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
- Use face recognition and face detection capabilities
- Create speech-to-text and text-to-speech functionality
- Engage with chatbots using deep learning
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.
Date de parution : 04-2018
Ouvrage de 219 p.
15.5x23.5 cm
Thèmes de Deep Learning with Applications Using Python :
Mots-clés :
Deep Learning; TensorFlow; Python; Open AI; Open AI Gym; Keras; Sci-Kit Learn