Real-World Machine Learning Projects Using TensorFlow
Real-World Machine Learning Projects Using TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 488 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 488 MB
Genre: eLearning | Language: English
Machine learning algorithms and research are mushrooming due to their accuracy at solving problems. This course walks you through developing real-world projects using TensorFlow in your ML projects.
The initial project will deal with assessing the viability of expanding your Restaurant business using a single variable linear regression. You will use Linear Regression with multiple variables with an example involving buying and selling a property at the best prices and use a dataset containing 11 features to deal with it. Next, you will create an algorithm to detect anomalous behavior in server computers using Gaussian methods. Finally, you'll design and build a convolutional Neural Networks model on a Traffic Signal Classifier from scratch.
By the end of this course you will be using TensorFlow in real-world scenarios, and you'll be confident enough to use ML Algorithms to build your own projects.
The code bundle for this video course is available at - https://github.com/PacktPublishing/Real-world-Machine-Learning-Projects-using-TensorFlow
Real-World Machine Learning Projects Using TensorFlow
