Tensorflow 2.0: Deep Learning and Artificial Intelligence Download
Neural Networks for Laptop Imaginative and prescient, Time Collection Forecasting, NLP, GANs, Reinforcement Learning, and Extra!
What you’ll study
- Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
- Predict Inventory Returns
- Time Collection Forecasting
- Laptop Imaginative and prescient
- Learn how to construct a Deep Reinforcement Learning Inventory Buying and selling Bot
- GANs (Generative Adversarial Networks)
- Recommender Methods
- 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 how you can construct your individual customized fashions
- Pure Language Processing (NLP) with Deep Learning
- Exhibit Moore’s Legislation utilizing Code
- Switch Learning to create state-of-the-art picture classifiers
- Know how you can code in Python and Numpy
- For the theoretical components (non-compulsory), perceive derivatives and likelihood
Welcome to Tensorflow 2.0!
What an thrilling time. It’s 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 liable for some superb achievements lately, similar to:
- Producing stunning, photo-realistic photographs of individuals and issues that by no means existed (GANs)
- Beating world champions within the technique sport Go, and complicated video video games like CS:GO and Dota 2 (Deep Reinforcement Learning)
- Self-driving automobiles (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 doubtlessly nefarious utility of deep studying)
Tensorflow is the world’s hottest library for deep studying, and it’s constructed by Google, whose dad or mum Alphabet lately grew to become probably 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 corporations 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 best way as much as expert-level college students. How can this be?
Should you’ve simply taken my free Numpy prerequisite, then the whole lot you want to bounce proper in. We’ll begin with some very fundamental machine studying fashions and advance to state-of-the-art ideas.
Alongside the best way, you’ll find out about all the main deep studying architectures, similar to Deep Neural Networks, Convolutional Neural Networks (picture processing), and Recurrent Neural Networks (sequence information).
Present tasks embrace:
- Pure Language Processing (NLP)
- Recommender Methods
- Switch Learning for Laptop Imaginative and prescient
- Generative Adversarial Networks (GANs)
- Deep Reinforcement Learning Inventory Buying and selling Bot
Even in the event you’ve taken all of my earlier programs already, you’ll nonetheless find out about how you can convert your earlier code in order that it makes use of Tensorflow 2.0, and there are all-new and never-before-seen tasks on this course similar to time collection forecasting and how you can do inventory predictions.
This course is designed for college students who wish to study quick, however there are additionally “in-depth” sections in case you wish to dig just a little deeper into the idea (like what’s a loss perform, and what are the several types of gradient descent approaches).
Superior Tensorflow matters embrace:
- Deploying a mannequin with Tensorflow Serving (Tensorflow within the cloud)
- Deploying a mannequin with Tensorflow Lite (cellular and embedded purposes)
- Distributed Tensorflow coaching with Distribution Methods
- Writing your individual customized Tensorflow mannequin
- Changing Tensorflow 1.x code to Tensorflow 2.0
- Constants, Variables, and Tensors
- Keen execution
- Gradient tape
Teacher’s Word: This course focuses on breadth moderately than depth, with much less idea in favor of constructing extra cool stuff. If you’re in search of a extra theory-dense course, this isn’t it. Usually, for every of those matters (recommender programs, pure language processing, reinforcement studying, pc imaginative and prescient, GANs, and so forth.) I have already got programs singularly centered on these matters.
Thanks for studying, and I’ll see you in school!
WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:
- Try the lecture “Machine Learning and AI Prerequisite Roadmap” (accessible within the FAQ of any of my programs, together with the free Numpy course)
Who this course is for:
- Freshmen to superior college students who wish to find out about deep studying and AI in Tensorflow 2.0
Tensorflow 2.0: Deep Learning and Artificial Intelligence Free Download
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