我们的专家评审员团队在筛选大量数据并聆听数小时视频后,列出了10 个最佳在线 深入学习 培训、课程、班级、资格认证、教程和方案的清单。
10 个最佳在线 深入学习 课程、培训、班级和指南
课程名称 | 注册学生(人数) | 评论(数) |
---|---|---|
1. Deep Learning A-Z™:人工神经网络实践 最佳之选 | 695+ | 100+ |
2. Deep Learning A-Z™: Hands-On Artificial Neural Networks | 294404+ | 35295+ |
3. Complete Guide to TensorFlow for Deep Learning with Python | 85639+ | 15578+ |
4. Data Science: Deep Learning in Python | 45414+ | 7110+ |
5. Natural Language Processing with Deep Learning in Python | 39338+ | 6312+ |
6. Deep Learning Prerequisites: Linear Regression in Python | 26589+ | 4586+ |
7. Advanced AI: Deep Reinforcement Learning in Python | 32474+ | 3672+ |
8. “Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)” | 22684+ | 3558+ |
9. Deep Learning: Convolutional Neural Networks in Python | 25343+ | 3349+ |
10. Deep Learning Prerequisites: Logistic Regression in Python | 24383+ | 3127+ |
1. Deep Learning A-Z™:人工神经网络实践 由 “Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team” 教授 Udemy 课程 最佳之选
跟着两位机器学习与数据科学专家,学习用Python创建深度学习算法。包含模板。(英文原音)
在撰写本文时,已有超过 695+人参加了此课程,并留下了 100+ 条评论。
2. Deep Learning A-Z™: Hands-On Artificial Neural Networks 由 “Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team” 教授 Udemy 课程
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.
在撰写本文时,已有超过 294404+人参加了此课程,并留下了 35295+ 条评论。
3. Complete Guide to TensorFlow for Deep Learning with Python 由 Jose Portilla 教授 Udemy 课程
Learn how to use Google’s Deep Learning Framework – TensorFlow with Python! Solve problems with cutting edge techniques!
在撰写本文时,已有超过 85639+人参加了此课程,并留下了 15578+ 条评论。
4. Data Science: Deep Learning in Python 由 Lazy Programmer Inc. 教授 Udemy 课程
“The MOST in-depth look at neural network theory, and how to code one with pure Python and Tensorflow”
在撰写本文时,已有超过 45414+人参加了此课程,并留下了 7110+ 条评论。
5. Natural Language Processing with Deep Learning in Python 由 “Lazy Programmer Team, Lazy Programmer Inc.” 教授 Udemy 课程
“Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets”
在撰写本文时,已有超过 39338+人参加了此课程,并留下了 6312+ 条评论。
6. Deep Learning Prerequisites: Linear Regression in Python 由 Lazy Programmer Inc. 教授 Udemy 课程
“Data science, machine learning, and artificial intelligence in Python for students and professionals”
在撰写本文时,已有超过 26589+人参加了此课程,并留下了 4586+ 条评论。
7. Advanced AI: Deep Reinforcement Learning in Python 由 “Lazy Programmer Team, Lazy Programmer Inc.” 教授 Udemy 课程
The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks
在撰写本文时,已有超过 32474+人参加了此课程,并留下了 3672+ 条评论。
8. “Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)” 由 Lazy Programmer Inc. 教授 Udemy 课程
“VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python”
在撰写本文时,已有超过 22684+人参加了此课程,并留下了 3558+ 条评论。
9. Deep Learning: Convolutional Neural Networks in Python 由 Lazy Programmer Inc. 教授 Udemy 课程
“Use CNNs for Image Recognition, Natural Language Processing (NLP) +More! For Data Science, Machine Learning, and AI”
在撰写本文时,已有超过 25343+人参加了此课程,并留下了 3349+ 条评论。
10. Deep Learning Prerequisites: Logistic Regression in Python 由 Lazy Programmer Inc. 教授 Udemy 课程
“Data science, machine learning, and artificial intelligence in Python for students and professionals”
在撰写本文时,已有超过 24383+人参加了此课程,并留下了 3127+ 条评论。