Intro to Deep Learning ( ML Intensive at X)

An overview of Deep Learning, including representation learning, families of neural networks and their applications, a first look inside a deep neural network, and many code examples and concepts from TensorFlow. This talk is part of a ML speaker series at X we recorded at home. You can find all the links from this video below. I hope this was helpful, and I m looking forward to seeing you when we can get back to doing events in person. Thanks everyone Chapters: 0:00 Intro and outline 1:42 demos + discussion 3:58 AI vs ML vs DL 7:55 Whats representation learning 8:40 A cartoon neural network (more on this later) 9:20 What features does a network see 10:47 The deep in deep learning 12:48 Why treebased models are still important 13:38 How your workflow changes with DL 14:02 A couple illustrative code examples 17:59 Whats a hyperparameter 19:44 The skills that are important in ML 20:48 An example of applied work in healthcare 21:58 Families of neural networks