Sequence Modeling | Deep Learning Specialization | Coursera

Course planning Week 1: Recurrent neural networks Learn about recurrent neural networks. This type of model has been proven to perform extremely well on temporal data. It has several variants including LSTMs, GRUs and Bidirectional RNNs, which you are going to learn about in this section. Recurrent neural networks C4W1L01 Why sequence models C4W1L02 Notation […]

Convolutional Neural Networks | Deep Learning Specialization | Coursera

Course Planning Week 1: Foundations of convolutional neural networks Learn to implement the foundational layers of CNNs (pooling, convolutions) and to stack them properly in a deep network to solve multi-class image classification problems. Convolutional neural networks C4W1L01 Computer vision C4W1L02 Edge detection example C4W1L03 More edge detection C4W1L04 Padding C4W1L05 Strided convolutions C4W1L06 Convolutions over […]

Neural Networks and Deep Learning | Deep Learning Specialization | Coursera

Lecture Planning Week 1: Introduction to Deep Learning Welcome to the Deep Learning Specialization C1W1L01 Welcome Introduction to Deep Learning C1W1L02 Welcome C1W1L03 What is a neural network? C1W1L04 Supervised Learning with Neural Networks C1W1L05 Why is Deep Learning taking off? C1W1L06 About this Course C1W1R1 Frequently Asked Questions C1W1L07 Course Resources C1W1R2 How to use […]