What You’ll Uncover in Tensorflow 2.0 Deep Learning and Artificial Intelligence
What an thrilling time. It has been practically 4 years since Tensorflow was launched, and the library has advanced to its official second model…..
Format File: [122 MP4]… File Dimension: 6.96 GB
Tensorflow 2.0 Deep Learning and Artificial Intelligence
What you will be taught
Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
Predict Inventory Returns
Time Sequence Forecasting
Laptop Imaginative and prescient
construct a Deep Reinforcement Learning Inventory Buying and selling Bot
GANs (Generative Adversarial Networks)
Recommender Techniques
Picture Recognition
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Use Tensorflow Serving to serve your mannequin utilizing a RESTful API
Use Tensorflow Lite to export your mannequin for cellular (Android, iOS) and embedded gadgets
Use Tensorflow’s Distribution Methods to parallelize studying
Low-level Tensorflow, gradient tape, and construct your personal customized fashions
Pure Language Processing (NLP) with Deep Learning
Exhibit Moore’s Regulation utilizing Code
Switch Learning to create state-of-the-art picture classifiers
Get instantly obtain Tensorflow 2.0 Deep Learning and Artificial Intelligence
Course content material
Broaden all 126 lectures20:48:08
–Welcome
22:26
Introduction
Preview
04:03
Define
12:47
The place to get the code
05:36
+Google Colab
4 lectures41:01
+Machine Learning and Neurons
10 lectures01:32:06
+Feedforward Artificial Neural Networks
9 lectures01:36:21
+Convolutional Neural Networks
11 lectures01:57:05
+Recurrent Neural Networks, Time Sequence, and Sequence Knowledge
18 lectures03:12:29
+Pure Language Processing (NLP)
6 lectures54:35
+Recommender Techniques
2 lectures22:27
+Switch Learning for Laptop Imaginative and prescient
6 lectures44:48
+GANs (Generative Adversarial Networks)
2 lectures28:01
9 extra sections
Necessities
Know code in Python and Numpy
For the theoretical components (elective), perceive derivatives and likelihood
Description
Welcome to Tensorflow 2.0!
What an thrilling time. It has been practically 4 years since Tensorflow was launched, and the library has advanced to its official second model.
Tensorflow is Google’s library for deep studying and synthetic intelligence.
Deep Learning has been chargeable for some wonderful achievements not too long ago, resembling:
Producing stunning, photo-realistic photos of individuals and issues that by no means existed (GANs)
Beating world champions within the technique recreation Go, and complicated video video games like CS:GO and Dota 2 (Deep Reinforcement Learning)
Self-driving vehicles (Laptop Imaginative and prescient)
Speech recognition (e.g. Siri) and machine translation (Pure Language Processing)
Even creating movies of individuals doing and saying issues they by no means did (DeepFakes – a probably nefarious software of deep studying)
Tensorflow is the world’s hottest library for deep studying, and it is constructed by Google, whose father or mother Alphabet not too long ago turned essentially the most cash-rich firm on the planet (only a few days earlier than I wrote this). It’s the library of selection for a lot of firms doing AI and machine studying.
In different phrases, if you wish to do deep studying, you gotta know Tensorflow.
This course is for beginner-level college students all the way in which as much as expert-level college students. How can this be?
If you happen to’ve simply taken my free Numpy prerequisite, then the whole lot you might want to leap proper in. We’ll begin with some very fundamental machine studying fashions and advance to cutting-edge ideas.
Alongside the way in which, you’ll find out about all the main deep studying architectures, resembling Deep Neural Networks, Convolutional Neural Networks (picture processing), and Recurrent Neural Networks (sequence information).
Present initiatives embody:
Pure Language Processing (NLP)
Recommender Techniques
Switch Learning for Laptop Imaginative and prescient
Generative Adversarial Networks (GANs)
Deep Reinforcement Learning Inventory Buying and selling Bot
Get instantly obtain Tensorflow 2.0 Deep Learning and Artificial Intelligence
Even if you happen to’ve taken all of my earlier programs already, you’ll nonetheless find out about convert your earlier code in order that it makes use of Tensorflow 2.0, and there are all-new and never-before-seen initiatives on this course resembling time collection forecasting and do inventory predictions.
This course is designed for college kids who need to be taught quick, however there are additionally “in-depth” sections in case you need to dig slightly deeper into the speculation (like what’s a loss operate, and what are the several types of gradient descent approaches).
Superior Tensorflow matters embody:
Deploying a mannequin with Tensorflow Serving (Tensorflow within the cloud)
Deploying a mannequin with Tensorflow Lite (cellular and embedded functions)
Distributed Tensorflow coaching with Distribution Methods
Writing your personal customized Tensorflow mannequin
Changing Tensorflow 1.x code to Tensorflow 2.0
Constants, Variables, and Tensors
Keen execution
Gradient tape
Teacher’s Observe: This course focuses on breadth reasonably than depth, with much less principle in favor of constructing extra cool stuff. In case you are searching for a extra theory-dense course, this isn’t it. Typically, for every of those matters (recommender programs, pure language processing, reinforcement studying, pc imaginative and prescient, GANs, and so on.) I have already got programs singularly centered on these matters.
Thanks for studying, and I’ll see you in school!
Who this course is for:
Freshmen to superior college students who need to find out about deep studying and AI in Tensorflow 2.0
IMPORTANT: This whole “Tensorflow 2.0 Deep Learning and Artificial Intelligence” is totally downloadable and accessible in your account
(In case of a damaged hyperlink, we are going to renew your hyperlink shortly).
Your endurance is appreciated.
