Java Deep Learning Solutions هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Deep Learning is part of a broader family of machine learning methods based on learning data representations. Deeplearning4j is a Deep Learning programming library written in Java and the Java Virtual Machine (JVM) and is a computing framework with wide support for Deep Learning algorithms.

In this course, you start by installing Deep Learning software for Java. You learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. The course will take you into Neural Networks, working with Perceptron, XOR, and Gradient Descent on code examples. It then covers Convolutional Networks with extraction, Max pooling, and Softmax. You'll get hands-on with working examples at the end of each section. It also covers Recurrent Neural Network, explaining all the features of its Architecture. Finally, you'll learn about Word2Vec's different models and how to work with them via practical examples.

By the end of this video course, youll be ready to tackle Deep Learning with Java.

About the Author

Shreenidhi Sudhakar is a Deep Learning enthusiast. He has completed his Masters from Florida Institute of Technology with specialization in Machine Learning. On the work front, he has around 3 years of experience in IT as a Principal Deep Learning Intern and Full Stack Java Developer. He also writes articles on Deep Learning for the blog Towards Data Science.