This free book will teach you the core concepts behind neural networks and deep learning. Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. -
Covering use cases that range from processing images to translating text into different languages, the book is a great resource for starting your deep learning journey before you’re ready to move on to more complex frameworks. 3. Neural Networks and Deep Learning Author: Charu C. AggarwalYear:...
Deep Learning Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville A definitive book on deep learning that covers both the theory and practical applications, suitable for beginners and experienced practitioners. Neural Networks and Deep Learning: A Textbook by Charu C. Aggarwal This bo...
第二门课 改善深层神经网络:超参数调试、正则化以及优化(Improving Deep Neural Networks:Hyperparameter tuning, Regularization and Optimization) 第一周:深度学习的实用层面(Practical aspects of Deep Learning) 1.1 训练,验证,测试集(Train / Dev / Test sets) 1.2 偏差,方差(Bias /Variance) 1.3 机器学习基础(...
Neural networks Support vector machines Data Science: Deep Learning in Python Statistics for Data Science, Data and Business Analysis Learn More on Udemy.com In this course, you will build SEVERAL hands-on systems using natural language processing, or NLP – the branch of machine learning and...
This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique. It contains chapters on basic concepts of artificial neural networks,
第一门课 神经网络和深度学习(Neural Networks and Deep Learning) 第一周:深度学习引言(Introduction to Deep Learning) 1.1 欢迎(Welcome) 1.2 什么是神经网络?(What is a Neural Network) 1.3 神经网络的监督学习(Supervised Learning with Neural Networks) ...
book provides a wide range of role for data scientists and software engineers with experience in machine learning. You will start with the basics of deep learning and quickly move on to the details of important advanced architecture by implementing everything from the beginning. This book provides...
Programming Tool/Library: There are many tools or libraries out there that provide all the required build - in functions and data structure need for implementing different type of Deep Neural Networks. You need to choose one of them based on the latest trend and how much familiar you are with...
Embedding and Representation Learning Deep Learning Models for Sequence Analysis Memory-Augmented Deep Learning Models Generative Deep Learning Models Deep Reinforcement Learning Towards General Unsupervised Learning Training Extremely Deep Neural Networks I’m excited to get my hands on this book. Fundamentals...