Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

Master Deep Learning with TensorFlow 2 with Computer Vision,Natural Language Processing, Sound Recognition & Deployment

Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

InstructorNeuralearn Dot AI

Duration58h 28m

Students7,362

Rating4.6 (512)

Coupon history

Comidoc has tracked 1 coupon for this course since 2026, last checked 9 months, 11 days ago.

Coupon code	Discount	Added	Status	Lifetime
56A2562618B1A7434C03	50% off	Jan 16, 202608:53 AM UTC	Expired	4d 2h

Comidoc Analysis

Research-driven deep learning through TensorFlow 2

Strengths

Research-led implementation

The curriculum moves from basic regression to complex architectures like ResNet and Transformers by analyzing original research papers.

Best suited to

Learners wanting to implement models from research papers
Developers interested in Computer Vision and NLP architectures
Students seeking a project-based approach to TensorFlow

Less suited to

Those requiring high audio clarity for accessibility
Learners preferring highly optimized, built-in function implementations

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A slide comparing Computer Vision and NLP architectures, featuring a CNN diagram with convolution layers on the left and a Transformer model diagram with attention mechanisms on a — Preview 1 of 4
This slide contrasts Computer Vision and Natural Language Processing by displaying detailed architectural diagrams of Convolutional Neural Networks and Transformer models.

A digital curriculum roadmap titled 'Object Detection with YOLO' featuring a smartphone screen displaying real-time bounding box detection on a person playing the piano. — Preview 2 of 4
This course module overview highlights object detection using YOLO, showcasing a practical demonstration of real-time bounding box identification on a person via a mobile device interface.

A digital curriculum roadmap slide titled Image Generation showing a grid of generated human faces and text boxes listing topics like Variational Autoencoders and GANs. — Preview 3 of 4
This course module overview highlights image generation techniques, featuring a visual grid of synthetic faces alongside key concepts such as Variational Autoencoders and Generative Adversarial Networks.

A digital curriculum roadmap slide titled Model Deployment showing Heroku and FastAPI logos alongside a list of topics including quantization, ONNX conversion, and cloud deployment — Preview 4 of 4
This course module outlines the model deployment process using Heroku and FastAPI, covering technical steps like quantization, ONNX conversion, and building APIs for cloud environments.