Advance Your Skills in Deep Learning and Neural Networks

Courses under this program:
Course 1: Building Deep Learning Applications with Keras 2.0
-Learn how to install Keras— a popular deep learning framework—and use it to build a simple deep learning model.

Course 2: Deep Learning: Face Recognition
-Learn how to develop a face recognition system by leveraging deep learning. Find out how to code for face detection, identification, and more.

Course 3: Deep Learning: Image Recognition
-Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.

Course 4: Building and Deploying Deep Learning Applications with TensorFlow
-Discover how to install TensorFlow and use it to create, train, and deploy a machine learning model.

Course 5: Training Neural Networks in Python
-Take a deep dive into the inner workings of neural networks by learning how to create one from scratch in Python.

Course 6: Neural Networks and Convolutional Neural Networks Essential Training
-Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.

Course 7: Learning TensorFlow with JavaScript
-Get introduced to TensorFlow and machine learning. Learn how you can leverage your JavaScript skills to create a machine learning project.

Course 8: Introduction to AWS DeepLens
-Get started with AWS DeepLens, the world's first deep learning-enabled video camera for developers.

Course 9: NLP with Python for Machine Learning Essential Training
-Explore natural language processing (NLP) concepts, review advanced data cleaning and vectorization techniques, and learn how to build machine learning classifiers.