A Complete Guide on TensorFlow 2.0 using Keras APIAdvanced Asynchronous JavaScript Free Download. Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0
A Complete Guide on TensorFlow 2.0 using Keras API Description
Contents
Requirements
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Some maths basics like knowing what is a differentiation or a gradient
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Python basics
Udemy – 100 Days of JavaScript
What you’ll learn
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How to use Tensorflow 2.0 in Data Science
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Important differences between Tensorflow 1.x and Tensorflow 2.0
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How to implement Artificial Neural Networks in Tensorflow 2.0
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How to implement Convolutional Neural Networks in Tensorflow 2.0
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How to implement Recurrent Neural Networks in Tensorflow 2.0
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How to build your own Transfer Learning application in Tensorflow 2.0
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How to build a stock market trading bot using Reinforcement Learning (Deep-Q Network)
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How to build Machine Learning Pipeline in Tensorflow 2.0
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How to conduct Data Validation and Dataset Preprocessing using TensorFlow Data Validation and TensorFlow Transform.
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Putting a TensorFlow 2.0 model into production
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How to create a Fashion API with Flask and TensorFlow 2.0
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How to serve a TensorFlow model with RESTful API
Who this course is for:
- Deep Learning Engineers who want to learn Tensorflow 2.0
- Artificial Intelligence Engineers who want to expand their Deep Learning stack skills
- Computer Scientists who want to enter the exciting area of Deep Learning and Artificial Intelligence
- Data Scientists who want to take their AI Skills to the next level
- AI experts who want to expand on the field of applications
- Python Developers who want to enter the exciting area of Deep Learning and Artificial Intelligence
- Engineers who work in technology and automation
- Businessmen and companies who want to get ahead of the game
- Students in tech-related programs who want to pursue a career in Data Science, Machine Learning, or Artificial Intelligence
- Anyone passionate about Artificial Intelligence
A Complete Guide on TensorFlow 2.0 using Keras API Free Download
Content From: https://www.udemy.com/course/tensorflow-2/