Syllabus

• Introduction to Deep Learning and Neural Networks
• Multi-layered Neural Networks
• Deep Learning Libraries
• Keras API
• TFLearn API for TensorFlow
• Deep Neural Networks(DNNs)
• Convolutional Neural Networks(CNNs)
• Recurrent Neural Networks(RNNs)
• GPU in Deep Learning
• Autoencoders and Restricted Boltzmann Machine (RBM)
• Deep Learning Applications
• Chatbots
• Time Series Analysis

For more information on syllabus and course content, visit Artificial Intelligence Course