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Introduction to Deep Learning Online Training
This Deep Learning Training equips junior data scientists with the skills to implement deep learning solutions for image data, text classification, and time-series predictive modeling. Learn to use TensorFlow for computer vision (CV), natural language processing (NLP), and explore Large Language Models (LLMs). Ideal for onboarding new data scientists or as a data science reference resource.
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What you'll learn
- Building and training neural networks for image and text classification
- Learning the differences between machine learning and deep learning, and when to use one over the other
- Understanding Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP) techniques
- Evaluating and optimizing deep learning models using pre-trained models from TensorFlow, Google, and Kaggle
FAQs
What's the best way for a beginner to learn about deep learning?
Does deep learning and machine learning require a lot of math?
Can't I learn deep learning on my own?
Are there any certifications associated with this course on deep learning?
Who is this for?
This deep learning training is considered associate-level data science training, which means it was designed for data scientists who have a basic understanding of Python programming and machine learning concepts, including supervised and unsupervised learning.
What our learners say
I didn't ever think I'd have the position I have now.
The more I put into learning, the more skills I’m going to have — and the better I’m going to be technically.
CBT Nuggets fits into my day-to-day amazingly.
Download the free Introduction to Deep Learning Online Training study plan to complete this course in about 34 hours.
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