Dive into the world of deep learning with Keras in this comprehensive 1.5-hour tutorial. Gain intuition about Artificial Neural Networks and learn to create datasets for training. Quickly build an ANN using Keras in just 5 minutes. Explore face recognition techniques using OpenCV and VGG16 transfer learning, as well as OpenFace implementation in Keras. Discover OpenPose with TensorFlow for pose estimation. Apply ANNs to real-world scenarios like predicting customer churn in banking. Delve into stock prediction using LSTM Recurrent Neural Networks. Finally, develop a gender classifier and age estimator using ResNet Convolutional Neural Networks.