├── 01 Head First into Deep Learning
│ ├── 001 The Course Overview.mp4
│ ├── 002 What Is Deep Learning.mp4
│ ├── 003 Open Source Libraries for Deep Learning.mp4
│ └── 004 Deep Learning Hello World Classifying the MNIST Data.mp4
├── 02 Backpropagation and Theano for the Rescue
│ ├── 001 Introduction to Backpropagation.mp4
│ ├── 002 Understanding Deep Learning with Theano.mp4
│ └── 003 Optimizing a Simple Model in Pure Theano.mp4
├── 03 Keras Making Theano Even Easier to Use
│ ├── 001 Keras Behind the Scenes.mp4
│ ├── 002 Fully Connected or Dense Layers.mp4
│ └── 003 Convolutional and Pooling Layers.mp4
├── 04 Solving Cats Versus Dogs
│ ├── 001 Large Scale Datasets, ImageNet, and Very Deep Neural Networks.mp4
│ ├── 002 Loading Pre-trained Models with Theano.mp4
│ └── 003 Reusing Pre-trained Models in New Applications.mp4
├── 05 for Loops and Recurrent Neural Networks in Theano
│ ├── 001 Theano for Loops the scan Module.mp4
│ ├── 002 Recurrent Layers.mp4
│ ├── 003 Recurrent Versus Convolutional Layers.mp4
│ └── 004 Recurrent Networks Training a Sentiment Analysis Model for Text.mp4
└── 06 Bonus Challenge and TensorFlow
├── 001 Bonus Challenge Automatic Image Captioning.mp4
└── 002 Captioning TensorFlow Googles Machine Learning Library.mp4