TensorFlow and the Google Cloud ML Engine for Deep Learning - learn Machine Learning

Link to this course(special discount)
https://www.udemy.com/course/from-0-to-1-tensorflow-for-deep-learning/?ranMID=39197&ranEAID=Gw%2FETjJoU9M&ranSiteID=Gw_ETjJoU9M-OIWBRdaoYpu4aEUjv40oKw&utm_source=aff-campaign&LSNPUBID=Gw%2FETjJoU9M&utm_medium=udemyads
TensorFlow and the Google Cloud ML Engine for Deep Learning - learn Machine Learning
What you will learn in this course ?
What you'll learnBuild and execute machine learning models on TensorFlowImplement Deep Neural Networks, Convolutional Neural Networks and Recurrent Neural NetworksUnderstand and implement unsupervised learning models such as Clustering and Autoencoders
TensorFlow is quickly becoming the technology of choice for deep learning, because of how easy TF makes it to build powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction.
This is a comprehensive, from-the-basics course on TensorFlow and building neural networks. It assumes no prior knowledge of Tensorflow, all you need to know is basic Python programming.

What's covered:
Deep learning basics: What a neuron is; how neural networks connect neurons to 'learn' complex functions; how TF makes it easy to build neural network modelsUsing Deep Learning for the famous ML problems: regression, classification, clustering and autoencodingCNNs - Convolutional Neural Networks: Kernel functions, feature maps, CNNs v DNNs RNNs - Recurrent Neural Networks: LSTMs, Back-propagation through time and dealing with vanishing/exploding gradientsUnsupervised learning techniques - Autoencoding, K-means clustering, PCA as autoencoding Working with imagesWorking with documents and word embeddingsGoogle Cloud ML Engine: Distributed training and prediction of TF models on the cloudWorking with TensorFlow estimators
this is the best Machine Learning course. you can download and watch for free after enroll.