Use this coupon to get the Complete Tensorflow 2 and Keras Deep Learning Bootcamp at a discounted price.
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In this course you will learn the latest technologies for building Deep Learning models with TensorFlow 2.0 and Keras. You will understand what is Deep Learning, what are neural networks and how they work. You will also learn about convolutional neural networks (CNNs) and building models using them to achieve state-of-the-art results in computer vision tasks such as classifying images into different categories, identifying objects in images, and generating new images.
Tensorflow 2 and Keras
The TensorFlow 2 and Keras Deep Learning Bootcamp teaches you how to use the two most popular Deep Learning frameworks out there. You’ll learn how to use TensorFlow 2.0 and Keras to build, train, and deploy fully-functional Deep Learning models. This bootcamp is perfect for beginners who want to get started with Deep Learning, and for experienced data scientists who want to transition to using TensorFlow 2.0 and Keras.
The Deep Learning Bootcamp
If you’re looking to get started with deep learning, then this is the course for you! In this bootcamp, you’ll learn how to use TensorFlow 2 and Keras to build and train neural networks from scratch. You’ll also learn how to deploy your models to production, so that you can start making real-world predictions. By the end of this course, you’ll be able to build and train your own deep learning models with confidence.
Why Choose Tensorflow 2 and Keras?
When it comes to choosing a deep learning framework, there are many options available. However, two of the most popular frameworks are TensorFlow and Keras. In this article, we will compare these two frameworks in order to help you decide which one is right for your needs.
TensorFlow is a powerful and popular framework for training and deploying deep learning models. It was originally developed by Google Brain and is now used by many large companies such as Airbnb, Intel, and Nvidia. TensorFlow is available on both Linux and Windows platforms.
Keras is a high-level deep learning framework that runs on top of TensorFlow (or Theano). It was developed by Francois Chollet, a software engineer at Google. Keras is easy to use and can be run on both CPU and GPU devices.
Here are some of the key differences between TensorFlow and Keras:
-TensorFlow is more powerful than Keras but can be difficult to use. Keras is easier to use but may not be as powerful as TensorFlow.
-TensorFlow offers more control over the model training process than Keras.
-Keras has built-in support for CNN and RNN models but TensorFlow does not.
Getting Started with Tensorflow 2 and Keras
In this tutorial, you will learn how to get started with TensorFlow 2.0 and Keras for deep learning. You will also learn how to train and evaluate your models.
This tutorial assumes that you have some basic knowledge of deep learning and know how to use Keras. If you are not familiar with these concepts, we recommend that you read our Introduction to Deep Learning tutorial before continuing.
The Tensorflow 2 and Keras Ecosystem
TensorFlow 2.0 is now live! This bootcamp will teach you the new features in Tensorflow 2.0, as well as how to use it in conjunction with Keras. You’ll learn about the different types of neural networks, how to train them, and how to deploy them. You’ll also learn about some of the most popular applications of neural networks, such as image classification and natural language processing. By the end of this bootcamp, you’ll be able to build your own neural networks from scratch and use them to solve real-world problems.
Tensorflow 2 and Keras in Research and Industry
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible.
Tensorflow 2 and Keras Resources
If you’re looking to get started with TensorFlow 2 and Keras, we’ve compiled a list of resources to help you get started.
-Getting Started with Keras: https://keras.io/getting-started/sequential-model-guide/
-Keras Sequential Model Guide: https://keras.io/getting-started/sequential-model-guide/
-Keras Functional API Guide: https://keras.io/getting-started/functional-api-guide/
-Examples of Keras Models: https://keras.io/examples/#vision
TensorFlow 2 Resources:
-TensorFlow 2 quickstart for experts: https://www.tensorflow.org/tutorials/quickstart/advanced
-Eager Execution in TensorFlow 2: https://www.tensorflow.org/guide/eager#execution_mechanics
-Using TensorFlow 2 with keras models: https://www.tensorflow.org/guide/keras#sequential_model
Thank you for reading! I hope this Tensorflow 2 and Keras Deep Learning Bootcamp coupon guide has been helpful.If you have any questions, feel free to reach out to me at [email protected]
About the Author
Hi, my name is Jose Marcial Portilla and I am a professional instructor and trainer for both Data Science and programming. I have a masters degree in Electrical Engineering from Santa Clara University and have been teaching for over 5 years now.
I enjoy making complex technical topics easy to understand and enjoy spending my free time doing things like hiking, eating good food, and writing books.
I created this course to help others become expert practitioners of Deep Learning using the industry standard tools of Tensorflow 2 and Keras.
Keyword: Complete Tensorflow 2 and Keras Deep Learning Bootcamp Coupon