Deep Learning & Neural Networks training courses
Machine Learning & Data Science

Deep Learning & Neural Networks

Build and train neural networks and generative models with TensorFlow, Keras and modern frameworks.

16 courses Beginner · Intermediate · Advanced

Beginner

4 courses

Intermediate

8 courses

Deep Learning Frameworks and Model Implementation

Why frameworks matter and how to build, train and ship a production-ready deep-learning model.

Intermediate

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...

Intermediate

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...

Intermediate

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...

Intermediate

Convolutional Neural Networks (CNNs)

Training: Convolutional Neural Networks (CNNs) — Pratheerth Padman.

Intermediate

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...

Intermediate

Designing Data Pipelines with TensorFlow

designing · data · pipelines · tensorflow · deep · neural · networks · machine · science · loading · image · 2.0 · model · pandas.

Intermediate

Recurrent Neural Networks (RNNs)

2. Natural management of variable length sequences.

Intermediate

Advanced

4 courses

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