Alex Herbert
The specialization may benefit you if you are a machine learning researcher or practitioner who is seeking to learn the next generation of machine learning, and you want to develop practical skills in the popular deep learning framework TensorFlow. Deep learning is one of the most highly sought-after skills in tech, and mastering it may lead you to many opportunities in the ...
100% online 100% online Start instantly and learn at your own schedule. Specialization Course 2 of 5 in the Deep Learning Specialization Intermediate Level Intermediate Level Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures A basic grasp of linear algebra & ML Hours to complete
100% online 100% online Start instantly and learn at your own schedule. Specialization Course 5 of 6 in the IBM Machine Learning Intermediate Level Intermediate Level Hours to complete Approx. 14 hours to complete Available languages English Subtitles: English Skills you will gain Deep Learning Artificial Neural Network Machine Learning
100% online Start instantly and learn at your own schedule. Course 2 of 5 in the Informed Clinical Decision Making using Deep Learning Specialization Intermediate Level Python programming and experience with scientific packages such as numpy, scipy and matplotlib. Approx. 32 hours to complete English Subtitles: English What you will learn
100% online 100% online Start instantly and learn at your own schedule. Specialization Course 3 of 3 in the Machine Learning: Theory and Hands-on Practice with Python Specialization Intermediate Level Intermediate Level Calculus, Linear algebra, Python, NumPy, Pandas, Matplotlib, and Scikit-learn.
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100% online 100% online Start instantly and learn at your own schedule. Specialization Course 3 of 5 in the Deep Learning Specialization Beginner Level Beginner Level At the rate of 5 hours a week, it typically takes 4 weeks to complete this course. Hours to complete Approx. 9 hours to complete Available languages English
In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, ...
Syllabus of Deep Learning Coursera Specialization This specialization has been designed by Deeplearning.ai, there are 5 Courses in this specialization: 1. Neural Networks and Deep Learning (Content ratings 97%) This course teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description.
The Coursera Deep Learning specialization is very well made, it’s not too long, it’s well-structured, it has only top-rated instructors, and it also offers working with real-life examples, meaning that you likely won’t get bored when taking this specialization.
DeepLearning.AI's Deep Learning Specialization provides the best deep learning instruction overall. However, the Machine Learning Engineering for Production (MLOps) Specialization, also from DeepLearning.AI, is an excellent option for advanced students who already have a solid grasp of deep learning concepts. Its emphasis on the practical ...
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