Ementorhub

What you'll learn

Job-ready deep learning skills using PyTorch, Keras, and TensorFlow employers are looking for - in just 3 months!

How to create shareable projects, deep learning models, and neural networks using Keras and PyTorch.

How to train linear and logistic regression models, optimize with gradient descent using PyTorch, and create custom models with Keras.

How to build advanced CNNs and transformer models and build CNNs with effective layers and activations… and more.

Skills you'll gain

PyTorch (Machine Learning Library)

Data Processing

Data Manipulation

Generative AI

Deep Learning

Computer Vision

Artificial Neural Networks

Image Analysis

Reinforcement Learning

Predictive Modeling

Tensorflow

Unsupervised Learning

Professional Certificate - 5 course series

You’ll also complete an in-depth capstone project, where you’ll apply your AI and neural network skills to build image classifiers, analyze their performance and present your findings.

After completing this course, learners will be able to: • Describe what a neural network is, what a deep learning model is, and the difference between them. • Demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. • Demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. • Build deep learning models and networks using the Keras library.

Deep Learning with Keras and Tensorflow

Introduction to Neural Networks and PyTorch

Deep Learning with PyTorch

AI Capstone Project with Deep Learning