Deep Learning Courses and Certifications

Coursera

Deep Learning with PyTorch : Object Localization

48 ratings at Coursera

Learn to implement object localization using PyTorch, including dataset preparation, augmentation, and training a CNN to detect and locate objects in images.

• Coursera
• 1 hour 56 minutes
• On-Demand
• Paid Course

Coursera

Deep Learning with PyTorch : Siamese Network

49 ratings at Coursera

Implement a Siamese Network with PyTorch for person re-identification using Triplet loss function. Learn to create Anchor, Positive, and Negative image datasets and train feature embeddings.

• Coursera
• 2 hours
• On-Demand
• Paid Course

Pytorch Deep Learning

46 ratings at Udemy

Master deep learning fundamentals through advanced concepts like BERT and T5, using PyTorch and Hugging Face. Hands-on projects progress from basic perceptrons to sophisticated neural networks and transformers.

• Udemy
• 5 hours 33 minutes
• On-Demand
• Paid Course

Deep Learning: Convolutional Neural Networks for developers

44 ratings at Udemy

This course will teach you Deep learning focusing on Convolution Neural Networks architectures

• Udemy
• 2 hours 49 minutes
• On-Demand
• Paid Course

Deep Learning with Keras

39 ratings at Udemy

Deep Learning & Keras concepts, model, layers, modules. Build a Neural Network and Image Classification Model with Keras

• Udemy
• 12 hours 58 minutes
• On-Demand
• Paid Course

Deep Learning Fundamentals with Keras

31 ratings at edX

New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Building AI Projects Master Machine Learning & Deep Learning

30 ratings at Udemy

Hands-On Projects in Machine Learning & Deep Learning for Real-World AI Solutions

• Udemy
• 3 hours 12 minutes
• On-Demand
• Paid Course

Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT

5 reviews

Explore advanced reconstruction techniques using deep learning for medical imaging modalities, enhancing image quality and diagnostic accuracy in PET, SPECT, and CT scans.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Mastering Deep Learning for Generative AI

28 ratings at Udemy

Learn to build and optimize generative models with deep learning. Explore GANs, VAEs, and transformers. Hands-on project

• Udemy
• 4 hours 11 minutes
• On-Demand
• Paid Course

Convolutional Neural Networks: Deep Learning

25 ratings at Udemy

Gain a comprehensive understanding of CNNs and apply this knowledge to develop a project

• Udemy
• 3 hours 4 minutes
• On-Demand
• Paid Course

Deep Learning with TensorFlow and Keras

17 ratings at edX

Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techni…

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Deep Learning with Python and PyTorch.

16 ratings at edX

This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.

• edX
• 6 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera

Deep Learning with PyTorch : GradCAM

21 ratings at Coursera

Implement GradCAM for CNN visualization, creating custom datasets, architectures, and functions. Learn to generate and plot heatmaps for localization in image classification tasks.

• Coursera
• 2 hours
• On-Demand
• Paid Course

AI & Deep Learning Concepts and Applications

10 ratings at Coursera

Master AI fundamentals, machine learning techniques, and deep learning frameworks while gaining hands-on experience with TensorFlow and Python to build neural network models for real-world applications.

• Coursera
• 5 hours 38 minutes
• On-Demand
• Paid Course

Microcredential

AI ML with Deep Learning and Supervised Models

11 ratings at Coursera

Master AI fundamentals, build neural networks, and implement advanced models like RNNs and LSTMs. Gain practical skills in supervised and unsupervised learning while exploring ethical considerations and industry applications.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses