Top 10 deep learning courses online
Top 10 free and paid deep learning courses Hi. I am David, admin of DeepLearning888 blog. Today, let me share all of you about #Top free a...
https://deeplearning888.blogspot.com/2019/06/top-deep-learning-courses-online.html
Top 10 free and paid deep learning courses
Hi. I am David, admin of DeepLearning888 blog. Today, let me share all of you about #Top free and paid deep learning courses. I hope you enjoy it!
Deep Learning Specialization is the leading course about deep learning now.
If you want to break into AI, this Specialization (course group in Coursera) will help you do so. Deep Learning is one of the most highly sought after skills in tech.
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, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.
You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.
Instructor: deeplearning.ai (deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders).
Instructor list:
+ Andrew Ng: CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
+ Head Teaching Assistant - Kian Katanforoosh (Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec).
+ Teaching Assistant - Younes Bensouda Mourri (Mathematical & Computational Sciences, Stanford University, deeplearning.ai)
Rated: 4.9*/5 by 152,000+ students
More details and student reviews, pls click here
Course description:
+ Instructor: Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
+ Rated: 4.5 (16,871 ratings)
+ 135,964 students enrolled
+ 30-Day Money-Back Guarantee
+ 22.5 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion
What you'll learn:
+ Understand the intuition behind Artificial Neural Networks
+ Apply Artificial Neural Networks in practice
+ Understand the intuition behind Convolutional Neural Networks
+ Apply Convolutional Neural Networks in practice
+ Understand the intuition behind Recurrent Neural Networks
+ Apply Recurrent Neural Networks in practice
+ Understand the intuition behind Self-Organizing Maps
+ Apply Self-Organizing Maps in practice
+ Understand the intuition behind Boltzmann Machines
+ Apply Boltzmann Machines in practice
+ Understand the intuition behind AutoEncoders
+ Apply AutoEncoders in practice
For more details and student reviews, please click here
Course description:
+ Instructor: Sundog Education by Frank Kane, Frank Kane
+ Rated: 4.6 (11,741 ratings)
+ 78,908 students enrolled
+ 30-Day Money-Back Guarantee
+ 12 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion
What you'll learn:
+ Build artificial neural networks with Tensorflow and Keras
+ Make predictions using linear regression, polynomial regression, and multivariate regression
+ Classify images, data, and sentiments using deep learning
+ Implement machine learning at massive scale with Apache Spark's MLLib
+ Understand reinforcement learning - and how to build a Pac-Man bot
+ Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
+ Use train/test and K-Fold cross validation to choose and tune your models
+ Build a movie recommender system using item-based and user-based collaborative filtering
+ Clean your input data to remove outliers
+ Design and evaluate A/B tests using T-Tests and P-Values
For more details and student reviews, please click here
Course description:
+ Instructor: Lazy Programmer Inc.
+ Rated: 4.6 (4,212 ratings)
+ 31,424 students enrolled
+ 30-Day Money-Back Guarantee
+ 9.5 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion
What you'll learn:
+ Learn how Deep Learning REALLY works (not just some diagrams and magical black box code)
+ Learn how a neural network is built from basic building blocks (the neuron)
+ Code a neural network from scratch in Python and numpy
+ Code a neural network using Google's TensorFlow
+ Describe different types of neural networks and the different types of problems they are used for
+ Derive the backpropagation rule from first principles
+ Create a neural network with an output that has K > 2 classes using softmax
+ Describe the various terms related to neural networks, such as "activation", "backpropagation" and "feedforward"
For more details and student reviews, please click here
Course description:
+ Instructor: Jose Portilla
+ Rated: 4.4 (8,373 ratings)
+ 50,195 students enrolled
+ 30-Day Money-Back Guarantee
+ 14 hours on-demand video
+ 5 downloadable resources
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion
What you'll learn:
+ Understand how Neural Networks Work
+ Build your own Neural Network from Scratch with Python
+ Use TensorFlow for Classification and Regression Tasks
+ Use TensorFlow for Image Classification with Convolutional Neural Networks
+ Use TensorFlow for Time Series Analysis with Recurrent Neural Networks
+ Use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders
+ Learn how to conduct Reinforcement Learning with OpenAI Gym
+ Create Generative Adversarial Networks with TensorFlow
+ Become a Deep Learning Guru!
For more details and student reviews, please click here
Hi. I am David, admin of DeepLearning888 blog. Today, let me share all of you about #Top free and paid deep learning courses. I hope you enjoy it!
1. Deep Learning Specialization (Coursera):
Deep Learning Specialization is the leading course about deep learning now.
If you want to break into AI, this Specialization (course group in Coursera) will help you do so. Deep Learning is one of the most highly sought after skills in tech.
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, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.
You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.
Instructor: deeplearning.ai (deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders).
Instructor list:
+ Andrew Ng: CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
+ Head Teaching Assistant - Kian Katanforoosh (Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec).
+ Teaching Assistant - Younes Bensouda Mourri (Mathematical & Computational Sciences, Stanford University, deeplearning.ai)
Rated: 4.9*/5 by 152,000+ students
More details and student reviews, pls click here
2. Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)
Course description:
+ Instructor: Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
+ Rated: 4.5 (16,871 ratings)
+ 135,964 students enrolled
+ 30-Day Money-Back Guarantee
+ 22.5 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion
What you'll learn:
+ Understand the intuition behind Artificial Neural Networks
+ Apply Artificial Neural Networks in practice
+ Understand the intuition behind Convolutional Neural Networks
+ Apply Convolutional Neural Networks in practice
+ Understand the intuition behind Recurrent Neural Networks
+ Apply Recurrent Neural Networks in practice
+ Understand the intuition behind Self-Organizing Maps
+ Apply Self-Organizing Maps in practice
+ Understand the intuition behind Boltzmann Machines
+ Apply Boltzmann Machines in practice
+ Understand the intuition behind AutoEncoders
+ Apply AutoEncoders in practice
For more details and student reviews, please click here
3. Free course: Deep Learning SIMPLIFIED (YouTube)
Author: DeepLearning.TV
Learn by YouTube playlist, 31 videos
4. Machine Learning, Data Science and Deep Learning with Python (Udemy)
Course description:
+ Instructor: Sundog Education by Frank Kane, Frank Kane
+ Rated: 4.6 (11,741 ratings)
+ 78,908 students enrolled
+ 30-Day Money-Back Guarantee
+ 12 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion
What you'll learn:
+ Build artificial neural networks with Tensorflow and Keras
+ Make predictions using linear regression, polynomial regression, and multivariate regression
+ Classify images, data, and sentiments using deep learning
+ Implement machine learning at massive scale with Apache Spark's MLLib
+ Understand reinforcement learning - and how to build a Pac-Man bot
+ Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
+ Use train/test and K-Fold cross validation to choose and tune your models
+ Build a movie recommender system using item-based and user-based collaborative filtering
+ Clean your input data to remove outliers
+ Design and evaluate A/B tests using T-Tests and P-Values
For more details and student reviews, please click here
5. Data Science: Deep Learning in Python (Udemy)
Course description:
+ Instructor: Lazy Programmer Inc.
+ Rated: 4.6 (4,212 ratings)
+ 31,424 students enrolled
+ 30-Day Money-Back Guarantee
+ 9.5 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion
What you'll learn:
+ Learn how Deep Learning REALLY works (not just some diagrams and magical black box code)
+ Learn how a neural network is built from basic building blocks (the neuron)
+ Code a neural network from scratch in Python and numpy
+ Code a neural network using Google's TensorFlow
+ Describe different types of neural networks and the different types of problems they are used for
+ Derive the backpropagation rule from first principles
+ Create a neural network with an output that has K > 2 classes using softmax
+ Describe the various terms related to neural networks, such as "activation", "backpropagation" and "feedforward"
6. Free course: Machine Learning & Deep Learning Fundamentals (YouTube)
+ Author: deeplizard
+ Learn by YouTube playlist, 36 videos
7. Complete Guide to TensorFlow for Deep Learning with Python (Udemy)
Course description:
+ Instructor: Jose Portilla
+ Rated: 4.4 (8,373 ratings)
+ 50,195 students enrolled
+ 30-Day Money-Back Guarantee
+ 14 hours on-demand video
+ 5 downloadable resources
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion
What you'll learn:
+ Understand how Neural Networks Work
+ Build your own Neural Network from Scratch with Python
+ Use TensorFlow for Classification and Regression Tasks
+ Use TensorFlow for Image Classification with Convolutional Neural Networks
+ Use TensorFlow for Time Series Analysis with Recurrent Neural Networks
+ Use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders
+ Learn how to conduct Reinforcement Learning with OpenAI Gym
+ Create Generative Adversarial Networks with TensorFlow
+ Become a Deep Learning Guru!
8. Free course: Advanced Deep Learning & Reinforcement Learning (YouTube)
+ Author: DeepMind
+ Learn by YouTube playlist, 18 videos
9. Free course: Deep Learning With TensorFlow (YouTube)
+ Author: edureka!
+ Learn by YouTube playlist, 43 videos
10. Free course: Deep Learning and its Applications 2019 (YouTube)
+ Author: Deep learning for all at Manas lab IIT Mandi
+ Learn by YouTube playlist, 58 videos
