By registering through this webpage, you will be enrolled in all three courses required to complete the Deep Learning Certificate:
In this course, students will be introduced to building a deep learning environment in order to establish a cloud based structure for deployment and to automate the setup process for streamlined implementation. In addition, students will work on their first deep learning project involving neural networks to classify customer handwriting in order to predict missing digits which will incorporate utilizing open source datasets, as well as creating and testing a model and building a training loop.
In this course, students will be introduced to computational linguistics utilizing common word representation models word2vec, developing a chatbot utilizing a Natural Language Pipeline (NLP), and understanding DeepSpeech2 for building a speech recognition system. All projects within this course will align computation linguistics principles to address specific customer needs in the retail sector.
In this course, students will be introduced to effective object recognition solutions utilizing Open CV and TensorFlow and automated image captioning. By the end of this course, students will be able to train computer models to observe patterns in images and apply this pattern recognition to real-world problems.
To enroll in all of the courses at once, please visit: DL.PRO1