Artificial Intelligence (AI) revolution is here and TensorFlow 2.0 is finally here to make it happen much faster! TensorFlow 2.0 is Google’s most powerful, recently released open source platform to build and deploy AI models in practice.
AI technology is experiencing exponential growth and is being widely adopted in the Healthcare, defense, banking, gaming, transportation and robotics industries. The purpose of this course is to provide students with practical knowledge of building, training, testing and deploying Artificial Neural Networks and Deep Learning models using TensorFlow 2.0 and Google Colab.
The course provides students with practical hands–on experience in training Artificial Neural Networks and Convolutional Neural Networks using real–world dataset using TensorFlow 2.0 and Google Colab. This course covers several technique in a practical manner, the projects include but not limited to:
(1) Train Feed Forward Artificial Neural Networks to perform regression tasks such as sales/revenue predictions and house price predictions
(2) Develop Artificial Neural Networks in the medical field to perform classification tasks such as diabetes detection.
(3) Train Deep Learning models to perform image classification tasks such as face detection, Fashion classification and traffic sign classification.
(4) Develop AI models to perform sentiment analysis and analyze customer reviews.
(5) Perform AI models visualization and assess their performance using Tensorboard
Instructor Details
Courses : 10
Specification: TensorFlow 2.0 Practical
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16 reviews for TensorFlow 2.0 Practical
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Price | $17.99 |
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Provider | |
Duration | 12 hours |
Year | 2021 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | No |
$99.99 $17.99
Jake Rhodes –
The best online course I have taken (I’ve probably taken about 10). I have an MSc in Computational Neuroscience and for 10, I’ve had everything I was taught about machine learning refreshed and expanded upon!
Harry Halter –
yes, very good explanation
Jose Antonio Quiles Follana –
Great course. The best on tensorflow!
Silambarasan –
Very Good
Eugene Duvenage –
Halfway through, this course has exceeded all my expectations. Practical, fundamentally applicable to all types of data.
Stephen Prum –
Based on my observation, Dr. Ryan is very precise and easy, fun to follow along. He still has a lot to cover. But so far so good.
Giovanni De Angelis –
Very good course to introduce TF2.0, to brush up and update previous knowwledge.
Jos de Jes s Mart nez Guarneros –
There are several key concepts useful to improve the accuracy of the models, for example, in the linear regression topic I was expecting to see a key recommendation to manage the numerical variables, such as the normalization. It is mandatory to respect the OLS Assumptions in linear regressions. In one of the classification exercises, I was waiting for a solid explanation of why to use the activation function Softmax, I never saw its mathematical interpretation. In real life problems, the databases are coming from lots of different resources, I was expecting to view recommendations for connections architectures. In general, this course is useful to introduce TensorFlow capabilities. However, is poorly suitable for real life problems.
Parappa –
very good course ,it has all the tensorflow 2.0 content
Tony Gilpin –
You are good , I am learning lot
Aman Singh –
good course with proper examples and explanation
Vikas Kumar Chaudhary –
Excellent answers and elaborations to my questions. A great help. Thanks.
Waynehung –
This course introduces Tensorflow with examples, practices, and explaining the theory behind it as well, helping me a lot to know Tensorflow step by step.
Durga Sandeep –
Actually, If you had done any deep learning theoretical course before then this course can be finished in a day. I am expecting more advanced stuff but in the end it is really interesting about deploying the model. But the lecture is just one hour. Thank you for the course.
Sudhi Gulur –
Ryan is an excellent instructor and his passion for teaching comes through in this course. The modules are paced well with examples and hands on exercises. I had no prior experience with TensorFlow and Keras 2.0 and am excited to have this strong foundation to pursue advanced learning in this space.
Joshua Bernard –
Very good couse, quick help but really straightforward and intresting