TensorFlow Full Course | Learn TensorFlow in 3 Hours | TensorFlow Tutorial For Beginners | Edureka




[ad_1]

** TensorFlow Training (Use Code: YOUTUBE20): https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka TensorFlow Full Course video is a complete guide to Deep Learning using TensorFlow. It covers in-depth knowledge about Deep Leaning, Tensorflow & Neural Networks. Below are the topics covered in this TensorFlow tutorial:
00:00 Introduction
2:07 Artificial Intelligence
2:21 Why Artificial Intelligence?
5:27 What is Artificial Intelligence?
5:55 Artificial Intelligence Domains
6:14 Artificial Intelligence Subsets
11:17 Machine Learning
12:32 Types of Machine Learning
12:39 Machine Learning Use Case
15:55 Supervised Learning
18:50 Types of Supervised Learning
20:17 Use Case 2
21:28 Linear Regression
26:34 Linear Regression Demo
38:39 Regression Application
40:14 Building Logistic Regression Model
40:24 Logistic Regression Use Case
46:55 Analysing Performance Of The Model
49:40 Calculating The Accuracy
51:31 Logistic Regression Demo
1:01:38 Clustering Use Case
1:05:12 How Clustering works?
1:05:12 Initialization
1:06:07 Cluster Assignment
1:07:37 Move Centroid
1:08:27 Optimization
1:08:32 Convergence
1:09:22 How to find optimal solution?
1:09:30 Choosing the number of cluster
1:16:35 Reinforcement Learning
1:17:35 Limitation of Machine Learning
1:22:00 How Deep Learning Solves the Issue?
1:25:05 What is Deep Learning?
1:26:35 Applications of Deep Learning
1:29:14 What is a Tensor?
1:29:48 Rank of Tensors
1:32:13 Shape of a Tensor
1:33:58 What is TensorFlow?
1:35:38 TensorFlow Code Basics
1:36:09 TensorFlow Basic Demo
2:00:33 Activation or Transformation Function
2:01:28 Linear
2:02:18 Unit Step
2:03:23 Sigmoid
2:04:23 Tanh
2:05:18 ReLU
2:05:53 Softmax
2:07:03 Activation Function Demo
2:10:43 How Neuron Works?
2:13:08 What is a Perceptron?
2:15:53 Role of Weights & Bias
2:16:18 Perceptron Example
2:22:23 Training a Perceptron
2:22:48 Perceptron Learning Algorithm
2:26:08 Training Network Weights
2:39:43 Reducing The Loss
2:43:18 Perceptron Learning Algorithm Demo

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

Instagram: https://www.instagram.com/edureka_learning
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox – https://castbox.fm/networks/505

– – – – – – – – – – – – – – – – –

#edureka #edurekaTensorFlow #TensorFlowTutorial #TensorFlowTutorialForBeginners #TensorFlowCompleteCourse

Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE

– – – – – – – – – – – – – –

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

– – – – – – – – – – – – – –

About the Course

Edureka’s Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

– – – – – – – – – – – – – –
Who should go for this course?

The following professionals can go for this course:
1. Developers aspiring to be a ‘Data Scientist’
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

– – – – – – – – – – – – – –

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Source


[ad_2]

Comment List

  • edureka!
    November 21, 2020

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Tensorflow Course curriculum, Visit our Website: http://bit.ly/2r6pJuI Use code "YOUTUBE20" to get Flat 20% off on this training.

  • edureka!
    November 21, 2020

    Thanks for this video

  • edureka!
    November 21, 2020

    Heavenly Experience

  • edureka!
    November 21, 2020

    Thanks for this video. concepts are explained in the simplest possible way.

  • edureka!
    November 21, 2020

    very very well explained

  • edureka!
    November 21, 2020

    Nice 👍

  • edureka!
    November 21, 2020

    What a great tutorial,! I'ver rarely seen complex concepts so well explained. Thanks a lot!

  • edureka!
    November 21, 2020

    Thanks a lot sir.. You have done a great job

  • edureka!
    November 21, 2020

    Amit very nice and impressive tutor thanks!!!!!!!

  • edureka!
    November 21, 2020

    Hello I am watching right right(2:33:33) and you are using tensorflow 1.x Why don't you introduce 2.x. I could not find GradientDescentOptimizer function in tensorflow 2.x
    Gradient descent applies much more differently in tf 2.x

  • edureka!
    November 21, 2020

    Its a very good seesion for begineer, Thanks edurekha

  • edureka!
    November 21, 2020

    great video, thanks for sharing.

  • edureka!
    November 21, 2020

    Wow I think this video will help a lot ! But is it with tensforflow or tensorflow 2.0 ?

  • edureka!
    November 21, 2020

    is this Tensorflow 2.0

  • edureka!
    November 21, 2020

    Omg why i am so late on this channel man… This channel is full of valuable treasures

  • edureka!
    November 21, 2020

    Always impressive as usual 💕

  • edureka!
    November 21, 2020

    What an amazing tutorial @edureka team

  • edureka!
    November 21, 2020

    Plz do make a video for tensor flow installation

  • edureka!
    November 21, 2020

    Plz make on C++

  • edureka!
    November 21, 2020

    Is this over tensorflow 2.0 ?

  • edureka!
    November 21, 2020

    I am frist put like
    👍

  • edureka!
    November 21, 2020

    Nice😍

Write a comment