IBM Professional Certificate in Deep Learning via the Edx online platform. The course was stuctured in 4 chapters: Keras, PyTorch, Tensorflow, a Capstone Project.
| Chapter | Description |
|---|---|
| Keras | Introduction to Deep Learning Classification Models Regression Models Convolutional Neural Networks |
| PyTorch | Tensors and Gradients Linear Regression Logistic and Softmax Regression Feedforward Neural Network Deep Networks Introduction to Networks for Computer Vision |
| Tensorflow | Linear and Logistic Regression Convolutional Neural Networks LSTM for Natural Language Progression Collaborative Filtering with RBM Autoencoders Model Deployment and saving ML models |
| Capstone Project | PyTorch to develop, train, and test a Deep Learning model. Loading and preprocessing data for a real problem, building the model and then validating it. |