Deep Learning & Neural Networks
Build and train neural networks and generative models with TensorFlow, Keras and modern frameworks.
Beginner
4 coursesBuild, Train and Deploy Your First Neural Network with TensorFlow 2
The full ML workflow in TensorFlow 2 and Keras — build, train, monitor and deploy a neural network.
Build a Machine Learning Workflow with Keras TensorFlow 2.0
machine · workflow · keras · tensorflow · 2.0 · deep · neural · networks · data · science · models · layers · custom · model · reference · unsupervised · callbacks · convolutional · datas...
Getting Started with TensorFlow 2.0
This course walked through TensorFlow 2.0 end to end, from its fundamental data structures to building and training three distinct kinds of Keras models.
Introduction to Deep Learning
This technology has completely transformed the field of artificial intelligence over the past decade. If you've used a voice assistant, seen a self-driving car, or chatted with ChatGPT, y...
Intermediate
8 coursesDeep Learning Frameworks and Model Implementation
Why frameworks matter and how to build, train and ship a production-ready deep-learning model.
Build a Speech Recognition Model
ASR (_Automatic Speech Recognition_) is the technology that allows computers to convert spoken language into written text. At a fundamental level, ASR systems receive an audio signal — es...
Build an Image Recognition Model
Every day, emergencies around the world face a critical challenge. A child arrives with a persistent cough and fever. An elderly patient has difficulty breathing. The clock is ticking, an...
Building Machine Learning Solutions with TensorFlow.js 2
Machine learning and deep learning are powering some of the most groundbreaking applications of the current era. JavaScript was not traditionally considered the go-to language for machine...
Convolutional Neural Networks (CNNs)
Training: Convolutional Neural Networks (CNNs) — Pratheerth Padman.
Deep Learning Model Deployment
Let's say you have just finished training a deep learning model. Perhaps it is a model for computer vision, or perhaps for natural language processing. You have adjusted the hyperparamete...
Designing Data Pipelines with TensorFlow
designing · data · pipelines · tensorflow · deep · neural · networks · machine · science · loading · image · 2.0 · model · pandas.
Recurrent Neural Networks (RNNs)
2. Natural management of variable length sequences.
Advanced
4 coursesBuild a Generative AI Model
Build and train autoencoders and progress to GANs through the Globomantics business use case.
Advanced TensorFlow: Custom Training and Optimization
tensorflow · custom · optimization · deep · neural · networks · machine · data · science · loop · gradient · checklist · distributed · clipping · model · nested · components · correctness...
Deep Learning Model Evaluation, Tuning, and Optimization
Deep learning models can appear perfect during training and fail as soon as they encounter real data. Most of the time, the problem isn't the architecture — it's the evaluation, tuning, a...
Natural Language Processing for Deep Learning
Every minute, humans send approximately 16 million text messages and 150,000 emails. If you tried to read all the text generated on the Internet in just 60 seconds, it would take you a li...
Interested in Deep Learning & Neural Networks?
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