Deep Learning & Neural Networks Python Keras For Dummies

The course begins with an overview of Deep Learning and neural networks, distinguishing between Deep Learning and Machine Learning. It then guides students through setting up the Python environment, learning Python basics, and installing essential libraries like Theano, Tensorflow, and Keras. The curriculum covers Multi-Layer Perceptrons, training neural networks, and concepts like Over-fitting and drop-out regularization. Students work on real-world datasets, including Pima Indians Onset of Diabetes, Iris Flowers Classification, and Sonar Returns, building models and evaluating accuracy.