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- 86% Deep Learning: Recurrent Neural Networks in Python

Deep Learning: Recurrent Neural Networks in Python

$94.99 $12.99Track price

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8.7/10 (Our Score)
Product is rated as #100 in category Machine Learning

*** NOW IN TENSORFLOW 2 and PYTHON 3 ***

Learn about one of the most powerful Deep Learning architectures yet!

The Recurrent Neural Network (RNN) has been used to obtain state–of–the–art results in sequence modeling.

This includes time series analysis, forecasting and natural language processing (NLP).

Learn about why RNNs beat old–school machine learning algorithms like Hidden Markov Models.

This course will teach you:

The basics of machine learning and neurons (just a review to get you warmed up!)

Neural networks for classification and regression (just a review to get you warmed up!)

How to model sequence data

How to model time series data

How to model text data for NLP (including preprocessing steps for text)

How to build an RNN using Tensorflow 2

How to use a GRU and LSTM in Tensorflow 2

How to do time series forecasting with Tensorflow 2

How to predict stock prices and stock returns with LSTMs in Tensorflow 2 (hint: it’s not what you think!)

How to use Embeddings in Tensorflow 2 for NLP

How to build a Text Classification RNN for NLP (examples: spam detection, sentiment analysis, parts–of–speech tagging, named entity recognition)

All of the materials required for this course can be downloaded and installed for FREE. We will do most of our work in Numpy, Matplotlib, and Tensorflow. I am always available to answer your questions and help you along your data science journey.

Instructor Details

Today, I spend most of my time as an artificial intelligence and machine learning engineer with a focus on deep learning, although I have also been known as a data scientist, big data engineer, and full stack software engineer. I received my masters degree in computer engineering with a specialization in machine learning and pattern recognition. Experience includes online advertising and digital media as both a data scientist (optimizing click and conversion rates) and big data engineer (building data processing pipelines). Some big data technologies I frequently use are Hadoop, Pig, Hive, MapReduce, and Spark. I've created deep learning models to predict click-through rate and user behavior, as well as for image and signal processing and modeling text. My work in recommendation systems has applied Reinforcement Learning and Collaborative Filtering, and we validated the results using A/B testing. I have taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Hunter College, and The New School. Multiple businesses have benefitted from my web programming expertise. I do all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies I've used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases I've used MySQL, Postgres, Redis, MongoDB, and more.

Specification: Deep Learning: Recurrent Neural Networks in Python

Duration 11.5 hours
Year 2020
Level All
Certificate Yes
Quizzes No

5 reviews for Deep Learning: Recurrent Neural Networks in Python

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  1. Avatar

    Priyanka Aishwarya

    yes

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  2. Avatar

    Charles Johler

    excellent!

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    George Herbert

    This course wasn’t necessarily what I had anticipated. It was largely what I needed.

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  4. Avatar

    Ivan E Sanchez Garcia

    The theoretical part of the course (GRU and LSTM) is very poor. I did a different course, so I understood it. In general is OK.

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  5. Avatar

    Ana Gleice da Silva Santos

    Parece que vou aprender muito

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    Deep Learning: Recurrent Neural Networks in Python
    Deep Learning: Recurrent Neural Networks in Python

    $94.99 $12.99

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