Everything you need to know about TensorFlow

Everything you need to know about TensorFlow

In this TensorFlow full course tutorial for Beginners will help you learn about Deep Learning with TensorFlow in detail, understand the basics of Deep Learning, how to install TensorFlow 2.0 on Ubuntu, how to use TensorFlow in Python, how to use TensorFlow object detection API to detect objects in images as well as videos

This video on TensorFlow full course tutorial for Beginners will help you learn about Deep Learning with TensorFlow in detail. You will understand the basics of Deep Learning and learn the various applications in Deep Learning. You will get an idea about how to install TensorFlow on Ubuntu, followed by what is TensorFlow, and TensorFlow tutorial. You will use TensorFlow object detection API to detect objects in images as well as videos. Finally, you will perform a demo using TensorFlow in Python. Now, let's dive into learning TensorFlow.

The below topics are covered in this AWS full course tutorial:
Here are the topics covered with the timelines:

  1. Animated Video 01:04
  2. Deep Learning Applications 06:45
  3. Healthcare 07:27
  4. Entertainment 10:15
  5. Composing music 11:51
  6. Image coloring 12:51
  7. Robotics 13:30
  8. Image Captioning 15:42
  9. Advertising 16:18
  10. Earthquake prediction 17:45
  11. Deep Learning Frameworks 18:27
  12. TensorFlow 19:42
  13. Keras 21:09
  14. PyTorch 23:15
  15. Theano 24:45
  16. DL4J 26:09
  17. Caffe 28:06
  18. Chainer 29:45
  19. Microsoft CNTK 32:03
  20. Installing TensorFlow on Ubuntu 34:27
  21. Deep Learning in Python 1:02:15
  22. What is Deep Learning 01:03:58
  23. Biological Neuron vs Artificial Neuron 01:04:46
  24. What is Neural Network 01:06:13
  25. How do Neural networks work 01:18:07
  26. Deep Learning Platforms 01:26:52
  27. Introduction to TensorFlow 01:28:01
  28. Why TensorFlow 01:58:16
  29. What is TensorFlow 02:00:28
  30. What is Data Flow Graph 02:04:22
  31. TensorFlow Program Basics 02:13:55
  32. Use Case Implementation using TensorFlow 02:45:25
  33. Detecting Diabetic Retinopathy 03:04:58
  34. Linear Regression using TensorFlow 03:06:04
  35. Introduction Recurrent Neural Networks 03:21:37
  36. How does a Recurrent Neural Networks look like 03:23:10
  37. Types of RNN 03:25:55
  38. Use Case Implementation of RNN 03:28:04
  39. TensorFlow Object Detection API Tutorial 03:46:07
  40. Libraries Required 03:56:55
  41. COCO Dataset 03:57:16
  42. Use Case Implementation of TensorFlow 04:08:25

Tensorflow Tutorial for Beginners - Tensorflow on Neural Networks

Tensorflow Tutorial for Beginners - Tensorflow on Neural Networks

In this TensorFlow tutorial for beginners - TensorFlow on Neural Networks, you will learn TensorFlow concepts like what are Tensors, what are the program elements in TensorFlow , what are constants & placeholders in TensorFlow Python, how variable works in placeholder and a demo on MNIST.

TensorFlow Tutorial for Beginners - TensorFlow on Neural Networks

In this TensorFlow tutorial for beginners - TensorFlow on Neural Networks, you will learn TensorFlow concepts like what are Tensors, what are the program elements in Tensorflow, what are constants & placeholders in TensorFlow Python, how variable works in placeholder and a demo on MNIST.

Let's Build A Video Game With Unity, TensorFlow and Python

Let's Build A Video Game With Unity, TensorFlow and Python

In this Machine Learning tutorial, we’ll build a video game with Unity, TensorFlow and Python. We’ll show you how easy it is to add ML-powered intelligence to video games or simulations, and how inference on smartphones is easier than it’s ever been: modern, powerful tools like Unity’s ML-Agents, Python, and TensorFlow make the complex easy. And it’s a lot of fun.

In this session, we’ll build a little smartphone game, train a bot to play it using reinforcement learning, Python, and TensorFlow, and deploy it to a smartphone.

In 30minutes. We’ll show you how easy it is to add ML-powered intelligence to video games or simulations, and how inference on smartphones is easier than it’s ever been: modern, powerful tools like Unity’s ML-Agents, Python, and TensorFlow make the complex easy. And it’s a lot of fun.

First, we’ll spend 10 minutes of the session:

  • showcasing the absolute basics game engines

  • creating an arcade game, live on stage

  • adding some art, to make the game look pretty!

Second, we’ll spend 10 minutes of the session:

  • implementing an agent, using Python and TensorFlow, that is rewarded for playing the game

  • training the agent to play

  • giving the agent some character

Finally, we’ll spend the last 10 minutes of the session:

  • preparing our trained model for deployment onto a smartphone

  • building the game and optimizing both the gameplay and ML-components for a smartphone

  • showing the audience the game, running live on a phone!

This is an engaging, fast-paced, and surprisingly in-depth exploration of how powerful modern game engines can be used for quick, relatively easy, but incredibly powerful state of the art machine learning and training, and how powerful inference on-device is, for mobile AI.

You don’t need to be a game developer to see the benefits. Join us for 30minutes of rapid live coding, and engaging banter while we show what’s really possible with Python, TensorFlow for ML, game engines/simulations, and mobile devices!

In this session, we'll build a little smartphone game, train a bot to play it using reinforcement learning with Python and TensorFlow, and deploy it to a smartphone. In 30 minutes we'll show you how easy it is to add machine learning (ML)-powered intelligence to video games and simulations, and how useful it can be to visualize ML problems. It'll be fun, and you'll learn the fundamentals of ML.

Python for Data Science and Machine Learning

Python for Data Science and Machine Learning

This Python tutorial for Data Science and Machine Learning will kick-start your learning of Python concepts needed for data science, as well as programming in general. Understand how to use the Jupyter Notebook, Understanding of Python from the beginning, Learn to use Object Oriented Programming with classes, Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more!

Master Python Complete Course

Python for Data Science and Machine Learning

This course will teach you from Python basics to advanced concepts in a practical manner, with Hands on exercises covered as well.

This Python tutorial for data science will kick-start your learning of Python concepts needed for data science, as well as programming in general. Python is required for data science because, Python programming is a versatile language commonly preferred by data scientists and big tech giant companies around the world, from startups to behemoths.

Whether you are a newbie in data science or already know about basic python for data science, this course is for you. In this python certification course, you will Learn Python programming in a practical manner with hands on coding assignments at the end of each section.

What you’ll learn

  • Get a complete understanding of Python from the beginning
  • Understand how to use the Jupyter Notebook
  • Master basics like variables, functions, tuples etc
  • Get hands-on with carefully designed coding assignments
  • Learn to use Object Oriented Programming with classes
  • Special Features and functions
  • Loops and condition formatting