-
-
Cart
Det finns inga varor i din kundvagn. Fortsätt handla på vår Kurskatalog sida.
DELTOTALBetala Nu -ELLER- betala Senare
Betala med kreditkort nu
-ELLER - betala mot faktura som vanligt.
-
Applied Deep Learning with PyTorch
Nivå: Intermediate
Starting with the basics of deep learning and their various applications, Applied Deep Learning with PyTorch shows you how to solve trending tasks, such as image classification and natural language processing by understanding the different architectures of the neural networks.
Nyckelfunktioner:
- After-course instructor coaching benefit
- After-course computing sandbox included
- Learning Tree end-of-course exam included
Du kommer lära dig att:
- Detect a variety of data problems to which you can apply deep learning solutions
- Learn the PyTorch syntax and build a single-layer neural network with it
- Build a deep neural network to solve a classification problem
- Develop a style transfer model
- Implement data augmentation and retrain your model
- Build a system for text processing using a recurrent neural network
Välj den utbildningsform som passar dig bäst
LIVE, LÄRARLEDD
I klass & Live, Online-utbildning
- 2-day instructor led training course
- One-on-one after-course instructor coaching
- Pay later by invoice -OR- at the time of checkout by credit card
FÖRETAGSINTERN UTBILDNING
Teamträning
- Använd denna eller någon annan utbildning i ditt företag
- Fullskalig programutveckling
- Levereras när, var och hur du vill
- Blandade utbildningsmodellerSkräddarsytt innehåll
- Coaching av ett expertteam
Anpassa kurs och innehåll efter teamets behov
Kontakta ossUtveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning
Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .
I klass & Live, Online-utbildning
Note: This course runs for 2 dagar *
*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.
-
14 - 15 dec 9:00 - 4:30 GMT Online (AnyWare)
Boka Din Kursplats -
8 - 9 mar 9:00 - 4:30 GMT Online (AnyWare)
Boka Din Kursplats -
24 - 25 maj 9:00 - 4:30 BST Online (AnyWare)
Boka Din Kursplats -
23 - 24 aug 9:00 - 4:30 BST Online (AnyWare)
Boka Din Kursplats -
9 - 10 nov 9:00 - 4:30 EST Online (AnyWare)
Boka Din Kursplats -
7 - 8 dec 9:00 - 4:30 EST Online (AnyWare)
Boka Din Kursplats -
11 - 12 jan 9:00 - 4:30 EST New York / Online (AnyWare)
Boka Din Kursplats -
8 - 9 feb 9:00 - 4:30 EST Herndon, VA / Online (AnyWare)
Boka Din Kursplats -
15 - 16 mar 9:00 - 4:30 EDT Ottawa / Online (AnyWare)
Boka Din Kursplats -
12 - 13 apr 9:00 - 4:30 EDT New York / Online (AnyWare)
Boka Din Kursplats -
11 - 12 maj 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare)
Boka Din Kursplats -
7 - 8 jun 9:00 - 4:30 EDT Ottawa / Online (AnyWare)
Boka Din Kursplats -
12 - 13 jul 9:00 - 4:30 EDT New York / Online (AnyWare)
Boka Din Kursplats -
9 - 10 aug 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare)
Boka Din Kursplats -
13 - 14 sep 9:00 - 4:30 EDT Ottawa / Online (AnyWare)
Boka Din Kursplats
Kurs med startgaranti
När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.Partial Day Event
Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.Important Applied Deep Learning with PyTorch Course Information
-
Requirements
Some working knowledge of Python and familiarity with the basics of machine learning are a must. However, knowledge of NumPy and pandas will be beneficial, but not essential.
-
Who Should Attend This Course
Applied Deep Learning with PyTorch is designed for data scientists, data analysts, and developers who want to work with data using deep learning techniques. Anyone looking to explore and implement advanced algorithms with PyTorch will also find this course useful.
Applied Deep Learning with PyTorch Course Outline
-
Lesson 1: Introduction to Deep Learning and PyTorch
- Understanding Deep Learning
- PyTorch Introduction
-
Lesson 2: Building Blocks of Neural Networks
- Introduction to Neural Networks
- Data Preparation
- Building a Neural Network
-
Lesson 3: A Classification Problem Using DNN
- Problem Definition
- Dealing with an Underfitted or Overfitted Model
- Deploying Your Model
-
Lesson 4: Convolutional Neural Networks
- Building a CNN
- Data Augmentation
- Batch Normalization
-
Lesson 5: Style Transfer
- Style transfer
- Implementation of Style Transfer Using the VGG-19 Network Architecture
-
Lesson 6: Analysing the Sequence of Data with RNNs
- Recurrent Neural Networks
- Long Short-Term Memory Networks (LSTMs)
- LSTM Networks in PyTorch
- Natural Language Processing (NLP)
- Sentiment Analysis in PyTorch
Teamträning
Applied Deep Learning with PyTorch FAQs
-
Can I take this data science course online?
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.
Your Training Comes with a 100% Satisfaction Guarantee!*
*Partner-delivered courses may have different terms that apply. Ask for details.