Table of Contents
- Building Deep Learning Environment
- Training Neural Network for Prediction using Regression
- Word Vector representationusing Word2VEC (skip-gram) for word prediction
- Build NLP pipeline for Open-Domain Question Answering
- Sequence-to-sequence models for building chatbots
- Generative Language modelling using Bi-LSTM for content creation
- Building Speech Recognition with DeepSpeech2
- Handwritten digits classification using ConvNets
- Real-time Object Detection using OpenCV and TensorFlow
- Building Face Recognition using OpenFace and Clustering
- Automated Image Captioning with NeuralTalk model
- Pose Estimation on 3D models using ConvNets
- Image translation using GANs for style transfer
- Develop anautonomous Agents with Deep Reinforcement Learning
- Summary and Next Steps in Your Deep Learning Career

