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TensorFlow and the Google Cloud ML Engine for Deep Learning (Udemy.com)

CNNs, RNNs and other neural networks for unsupervised and supervised deep learning

3.9
306 reviews

Created by: Loony Corn

Last updated July 2018

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What you will learn

  • Build and execute machine learning models on TensorFlow
  • Implement Deep Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks
  • Understand and implement unsupervised learning models such as Clustering and Autoencoders

How it compares

Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:

  • Rating3.9 out of 5higher than 13% of them
  • Reviews306#90 of 156 by number of reviews
  • Length17.4 hourslonger than 76% of them
  • Last updatedJuly 2018earlier than 88% of them

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Course Description

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 models
  • Using Deep Learning for the famous ML problems: regression, classification, clustering and autoencoding
  • CNNs - Convolutional Neural Networks: Kernel functions, feature maps, CNNs v DNNs 
  • RNNs - Recurrent Neural Networks: LSTMs, Back-propagation through time and dealing with vanishing/exploding gradients
  • Unsupervised learning techniques - Autoencoding, K-means clustering, PCA as autoencoding 
  • Working with images
  • Working with documents and word embeddings
  • Google Cloud ML Engine: Distributed training and prediction of TF models on the cloud
  • Working with TensorFlow estimators
Read More Beginner Beginner Level product length iconTime: 17.4h

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Instructor Details

Loony Corn

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years  working in tech, in the Bay Area, New York, Singapore and Bangalore.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!

We hope you will try our offerings, and think you'll like them :-)

Read More

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Reviews

3.9

306 ratings on Udemy

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By Richard Saul on 8/9/2019

I'm liking the course material so far, but I"m not getting consistent results following the on-screen instructions for install TensorFlow and Jupyter Notebooks. While TensorFlow runs fine in my virtual environment from the Python shell; TensorFlow will not run in a Jupyter Notebook inside my virtual environment.

By Quantum k on 11/6/2018

The modules and methods have been deprecated by tensor-flow developers hence the code and it's explanation is of now use. The instructors must update the course.

By Renjith George on 9/14/2018

The concepts were explained using simple and intuitive diagrams. This makes it easier to recall. The course is definitely worth revisiting to revise/recall important concepts. Still not very confident with using Tensorflow/Google MLE, that course part felt a bit hurried. Overall a very good intro into the ML and Deep Neural world.

By Sandeep Mehandru on 6/20/2018

Very good course. Explains both ML and Deep learning concepts in a very concise manner with good visual diagrams and code exercises. Thanks to the team. Looking forward for more such courses on complex topics.

By Saravanakumar Velayutham on 6/1/2018

very good course giving details on basic operation on tensor flow with examples at good pace . easily understandable to have a strong foundation skills

By Manjunath on 5/10/2018

I am using PyCharm - had some difficulties integrating tensorflow and getting the hello world running. Involved updating environmental variables. A comment on harmless warning message in your output would help.

By PREETI JOSHI on 5/8/2018

Pretty awesome course. The flow is so well thought and structured....i loved the comparison of output from scikit model to result from tensorflow. No less no more..perfect explanations with presentation and codes. The narration speed is perfect as well. Perfect so far !!!

By Ted Taliaferro on 1/27/2018

Better closed captioning so that I can understand what the narrator is saying. Also there needs to be more hands-on example from the onset. It's taking too long to get to using the tools

By MelkFett MelkFett on 1/27/2018

Loony Corn is unbelievably skilled. As a consequence their courses are good. But some of their courses stand out. Just like this one.

By Khoi Phan on 1/19/2018

Great course but could be a bit challenging for true beginners. I personally recommend taking this after having some previous knowledge of ML and Neural Networks

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Overall Score : 78 / 100

TensorFlow and the Google Cloud ML Engine for Deep Learning
Visit course on Udemy Write a review
  • Video Duration: icon 17.4h
  • Price: $54.99
  • Provider: icon Udemy
  • Updated: icon July 2018
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes
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