Tensorflow for Beginners (Udemy.com)
A complete guide for building machine learning and deep learning solutions using Tensorflow
Created by: Eduonix Learning Solutions
Last updated December 2018
What you will learn
- Learn Tensorflow from groundup
- Learn to build real world AI and ML apps using tensorflow
- Learn ML lifecycle and Tensorboard
- Learn to implement neural networks using Tensorflow
How it compares
Against the other 126 rated Udemy courses in Deep Learning on CourseDuck:
- Rating3.9 out of 5among the lower-rated ones
- Reviews81#119 of 127 by number of reviews
- Length4.1 hoursshorter than 84% of them
- Last updatedDecember 2018earlier than 98% of them
Course Description
Get your hands on the latest and easiest TensorFlow Course on Udemy!
Devices are getting smarter thanks to machine learning and artificial intelligence, and that is definitely going to continue. Machines are going to continue getting better and evolve, making tasks easier for humans. With machine learning and AI in the picture, the role of TensorFlow is unavoidable.
TensorFlow is an open-source library that is commonly used for data flow programming. It also includes a symbolic math library that can be used for machine learning applications and neural networking. TensorFlow was built by the Google Brain Team for their internal development needs on AI and ML, before it was released to the public.
However, it’s currently playing a huge role in helping technology advance to the next level. This makes TensorFlow a powerful technology to learn and master and this is exactly why we have designed this no-nonsense and no-fuss course.
Unlike other courses that focus on just the basics, we’ve actually designed a full guide based course to help you not only understand the fundamentals, but also learn the practical applications of TensorFlow. We’ve created this tutorial to show you the ins and outs of TensorFlow, including the foundation, lifecycle, TensorBoard and so much more.
The course is aimed at providing a learning environment for all types of users, from newbies to advanced users. Starting at the very beginning, we have focused on the basics of TensorFlow and from there progress on to difficult concepts. There are also entire sections that are dedicated to Deep Learning and also using everything you learn in this course to build a complete project from scratch.
The course combines theory and real-world applications to offer the most practical course that can help you learn TensorFlow in a systematic manner. It will show you how you can get started on machine learning, deep learning and building your own neural networks from scratch.
The course starts with a detailed introduction into TensorFlow and its basics, including delving into the TensorFlow Foundation. It also covers the Machine Learning Lifecycle, TensorBoard, Logical Regression, Neural Network Basics, Single & Multiple Hidden Layer Neural Networks, Convolutional Neural Networks. Deep Learning, and so much more! In the last section of the course, you’ll use everything you’ve learned throughout the course to build an actual project from scratch.
So, what are you waiting for? Enroll now and get started with building your very own Neural Networks with TensorFlow.
Instructor Details
- 3.9 Rating
81 Reviews
Eduonix Learning Solutions
Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.
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Reviews
By Mohammad Ezzeddine on 5/11/2024
No, for several reasons: 1. The instructor voice and speaking way is not attractive to follow up with him 2. Sound is too low 3. Blind slides with no interactive slides 4. Poor definitions for the keywords and terms
By Lata Tiwari on 10/12/2019
The tutorials are incomplete, almost everything is like "will look later". Explanations is very less relevant to the topic. Not worth the price even after discount. Not good.
By Seth Graham on 5/31/2019
This was a good match with my current skill level. I am a beginner with TensorFlow and Python, but know enough conceptually to keep up and understand the examples.
By Leandro Rosa dos Santos on 3/17/2019
It is good course but more details in how to install Jupyter should be very appreciatted and make the course richier.
By Raymond Johnson on 10/6/2018
Provides good foundation for what tensorflow is; however, like most tensorflow courses, it ignores computational graph theory.
By Ritesh Vani on 7/30/2018
Incredible course with great strategies, you get the opportunity to attempt every idea in the code to comprehend the inward workings, Everything is sorted out so well. Suggested for Beginners
By Mohamed IMINE on 7/28/2018
To the point! It would have been more instructive to provide other examples code at least as Jupiter code with some comments explaining the lines code to help us experiment more by ourself on how to use different models and how to link then with the different TF large library.
By James J Murray on 7/5/2018
A very helpful in insightful course with great models and excellent reference material. There is a lot of data preparation and manipulation with Pandas to get the data organized. All a good item to be addresses but it would be good to list Pandas knowledge as a prerequisite or dependency. Also the presenter needs to follow the process of: Tell us where we are going, tell us the details, and then summarize and review, telling us what he told us. This could be at section boundaries so as to not lengthen the course. Great and very worthwhile final project. I learned a LOT!!
By Saravanakumar Velayutham on 5/30/2018
Very good course for beginners on TensorFlow with ML techniques and how the tensor works
By Richa Vishwas on 4/23/2018
Top quality material. Learned from basic. Tutor has many things to offer from this course. I'll surely recommend it to others.
Quality Score
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Overall Score : 78 / 100












