Machine Learning on Google Cloud Platform | Cloud Academy Free Download

Machine Learning on Google Cloud Platform | Cloud Academy
English | Size: 1.90 GB
Genre: eLearning

Learning Path Description

This learning path will introduce you to neural networks, TensorFlow, and Google Cloud Machine Learning Engine. Even if you don’t have any previous experience with machine learning, that’s okay, because these courses cover the basic concepts.

The first course explains the fundamentals of neural networks and how to implement them using TensorFlow. Then it shows you how to train and deploy a model using Cloud ML Engine.

The second course explains how to build convolutional neural networks, which are very effective at performing object detection in images, among other tasks. It also shows how to visualize a model’s performance using TensorBoard, reduce overfitting, and train a model on a custom cluster using Cloud ML Engine.

Both of these courses include hands-on demos you can do yourself. Then you can test what you’ve learned by taking the exam.

Learning Objectives

Describe how an artificial neural network functions
Run a simple TensorFlow program
Train a model using a distributed cluster on Cloud ML Engine
Increase prediction accuracy using feature engineering and both wide and deep networks
Deploy a trained model on Cloud ML Engine to make predictions with new data
Build a Convolutional Neural Network in TensorFlow
Analyze a model’s training performance using TensorBoard
Identify cases of overfitting and apply techniques to prevent it
Scale a Cloud ML Engine job using a custom configuration

Intended Audience

Data professionals

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