Master Machine Learning & Detection in Python & TensorFlow

Course details

Want to explore different machine learning mechanisms and commonly used algorithms? Master Machine Learning & Detection in Python & TensorFlow is for you!

Funded by a #1 Kickstarter Project by Mammoth Interactive

With this course I will help you understand what machine learning is, applications of machine learning and where we use machine learning daily!

• 24.5 Hours On-Demand Video

• Watch Offline via the Udemy App

• 24 Articles

• 18 Supplemental Resources

• Full Lifetime Access

No experience? No problem

You will learn all the fundamentals of PyCharm, Python, TensorFlow. Even if you have coding knowledge, going back to the basics is the key to success as a programmer. We will build and run Python projects.

You will get all source code, images and files that you need to use throughout the course. You will be able to keep all this content for life, as a thank-you from Mammoth Interactive.

Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in Hands-On Machine Learning: Learn TensorFlow, Python, & Java!

Explore Android Studio and the Java Language!

• Install and run apps faster than with a physical device.

• Test your app on virtually any Android device configuration.

• Learn how to add a simulator and build simple User Interfaces (UIs) in Android Studio!

Object-oriented and reliable, Java is one of the most widely-used languages and has been the choice language of Android applications for years.

Write, Compile and Run Code in One Convenient Location!

In Master Machine Learning & Detection in Python & TensorFlow, you will install PyCharm and explore the interface. You will master the basics and become an expert in Python and Java while learning core machine learning concepts.

TensorFlowallows you to build computational graphs & neural networks and perform intense tasks like training and optimizing models with ease!

• Learn what TensorFlow is and how it makes machine learning development easier!

• Install TensorFlow and access its libraries through PyCharm.

• Train and test a model and use it for future predictions!

Incorporate ML Models into Cross Platform Apps

In Master Machine Learning & Detection in Python & TensorFlow, you will learn about the TensorFlow estimator! You'll learn how the TensorFlow estimator differs from other computational graphs. As well as how to use the estimator and the benefits of doing so.

• Learn how to import your linear regression model into an Android app!

• Save the trained model, build the files and import files into Android.

• Build an app around the imported model.

• Follow similar steps for iOS projects!

In this epic course, you'll build a simple digit recognition project using the MNIST handwritten digit database! You'll build, train, and test the model in PyCharm, as well as save the trained model and export it to Android Studio. You'll then build an app around the model.

Build Image Recognition Projects!

You'll build projects using the CIFAR-10 library! You'll build a basic version in PyCharm and save the trained model. You'll export the trained model to Android Studio and build an app around the model.

• Learn where to use TensorBoard: Visualizing Learning.

• Explore the TensorBoard interface and meet TensorBoards components and how to use them.

• Dive through a few TensorBoard examples!

You'll create more advanced projects, including a CIFAR -100 image classification project with an estimator! The model will be able to classify more images and will use the estimator.

Watch Over The Shoulder Of An Expert

You will learn through practical examples, follow-alongs, and over-the-shoulder tutorials with 5 star Udemy instructor Nimish Narang from Mammoth Interactive. You won't need to go anywhere else. You will get a broad range of topics including:

• Examining Computational Graph In Tensorboard

• Advanced MNIST Projects

• Train, Test, and Freeze Models

• Build image recognition iOS apps

You will learn which Core ML libraries are available and how to access them. You will explore Core ML libraries to build an image recognition app for iOS. You will also learn how to integrate TensorFlow Mobile into iOS apps

Clip More Machine Learning Projects To Your Belt

By the end of this course, you will have tons of machine learning projects on your belt. You will know how tobuild complete computational models and train models to make predictions.

Enroll Now While On Sale!