Szkolenia NLP w Chorzów
NLP Course Events - Chorzów
|Kod||Nazwa||Czas trwania||Spis treści|
|Neuralnettf||Neural Networks Fundamentals using TensorFlow as Example||28 hours||
This course will give you knowledge in neural networks and generally in machine learning algorithm, deep learning (algorithms and applications).
This training is more focus on fundamentals, but will help you choosing the right technology : TensorFlow, Caffe, Teano, DeepDrive, Keras, etc. The examples are made in TensorFlow.
Creation, Initializing, Saving, and Restoring TensorFlow variables
Feeding, Reading and Preloading TensorFlow Data
How to use TensorFlow infrastructure to train models at scale
Visualizing and Evaluating models with TensorBoard
Inputs and Placeholders
Build the GraphS
Train the Model
o The Graph
o The Session
o Train Loop
Evaluate the Model
o Build the Eval Graph
o Eval Output
The perceptron learning algorithm
Binary classification with the perceptron
Document classification with the perceptron
Limitations of the perceptron
From the Perceptron to Support Vector Machines
Kernels and the kernel trick
Maximum margin classification and support vectors
Artificial Neural Networks
Nonlinear decision boundaries
Feedforward and feedback artificial neural networks
Minimizing the cost function
Improving the way neural networks learn
Convolutional Neural Networks
Launching and Training the Model
Evaluating a Model
|python_nltk||Natural Language Processing with Python||28 hours||
This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.
Overview of Python packages related to NLP
Introduction to NLP (examples in Python of course)
NLP in Python in examples
|nlp||Natural Language Processing||21 hours||
This course has been designed for people interested in extracting meaning from written English text, though the knowledge can be applied to other human languages as well.
The course will cover how to make use of text written by humans, such as blog posts, tweets, etc...
For example, an analyst can set up an algorithm which will reach a conclusion automatically based on extensive data source.
Short Introduction to NLP methods
Overview of NLP theory