Deep Learning Specialization held by Andrew Ng

I've finally completed the Deep Learning Specialization held by Andrew Ng on Coursera. I've really appreciated all 5 courses and my final grade is 99%.

• The first ones opened my mind on how complex and structured an efficient deep learning algorithm can be. I implemented my first deep neural network model with planar data classification. Later on, I implemented a bird recognition in the city of Peacetopia by using a simple DNN model. 
• I really loved the last two courses on convolutional and recurrent neural networks. For the Convolutional Neural Network part, face verification and face recognition models are implemented. I also did an autonomous driving - car detection by using the very powerful YOLO model. For the Recurrent Neural Network part, I implemented a character level language model and an Emojifier by using LSTM Network, and I also improvise a Jazz Solo with an LSTM Network. 
• I also really appreciate this course to give me a chance for learning how to use the TensorFlow platform.

I hope I can learn more about these topics in my future career!