Description
Introduction to Deep Learning is a deep learning training course published by CBTNuggets Academy. This deep learning training equips young data scientists with the expertise needed to implement deep learning solutions for their organization’s specific needs. Building on the principles of machine learning, this course provides an introduction to deep learning, focusing on image data using computer vision (CV), text data using natural language processing (NLP), and time series data for predictive modeling. This course not only teaches you how to use TensorFlow to classify images and text, but also helps you gain a solid understanding of Large Language Models (LLM). For anyone with young data scientists on their team, this data science training can be used to onboard new young data scientists, set up in individual or team training programs, or as a data science reference resource. After completing this deep learning training, you will know how to well describe deep learning methods and techniques so that you can implement deep learning solutions for your organization’s unique needs.
What you will learn
- Building and training neural networks for image and text classification
- Learn the difference between machine learning and deep learning and when to use one over the other.
- Introduction to Convolutional Neural Networks (CNN) and Natural Language Processing (NLP) techniques
- Evaluate and optimize deep learning models using pre-trained models from TensorFlow, Google, and Kaggle
Who is this course suitable for?
- This deep learning training is considered an associate-level data science training, meaning it is designed for data scientists who have a basic understanding of Python programming and machine learning concepts including supervised and unsupervised learning.
Introduction to Deep Learning course details
- Publisher: CBTNuggets
- Instructor: Jonathan Barrios
- Language: English
- Education level: All levels
- Number of lessons: 280
- Training duration: 43 hours and 30 minutes
Introduction to Deep Learning course topics
Pictures
Sample video
Installation Guide
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Subtitles: None
Quality: 1080p
File size
20.62 GB
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