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.
Overview
Syllabus
Artificial Neural Network Intuition.
Creating a Dataset and training an Artificial Neural Network with Keras.
Create an Artifical Neural Network using Keras in 5 minutes.
Face Recognition using open CV and VGG 16 Transfer Learning.
Using OpenFace for Face recognition in Keras.
OpenPose Tutorial with Tensorflow.
Artificial Neural Network for Customer's Exit Prediction from Bank.
Stock Prediction using LSTM Recurrent Neural Network.
Gender Classifier and Age Estimator using Resnet Convolution Neural Network.
Taught by
Krish Naik
