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Lesson 1: Deep Learning 2019 - Image classification

Lesson 2: Deep Learning 2019 - Data cleaning and production; SGD from scratch

Lesson 3: Deep Learning 2019 - Data blocks; Multi-label classification; Segmentation

Lesson 4: Deep Learning 2019 - NLP; Tabular data; Collaborative filtering; Embeddings

Lesson 5: Deep Learning 2019 - Back propagation; Accelerated SGD; Neural net from scratch

Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

Lesson 7: Deep Learning 2019 - Resnets from scratch; U-net; Generative (adversarial) networks

Description:

Dive into a comprehensive 14-hour course on deep learning, covering essential topics from image classification to generative adversarial networks. Learn to implement data cleaning techniques, build neural networks from scratch, and explore advanced concepts like regularization and convolutions. Master practical skills in natural language processing, tabular data analysis, and collaborative filtering while gaining insights into data ethics and the intricacies of back propagation and accelerated stochastic gradient descent.

Practical Deep Learning for Coders 2019

Jeremy Howard

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#Computer Science #Deep Learning #Artificial Intelligence #Natural Language Processing (NLP) #Computer Vision #Image Classification #Data Science #Data Analysis #Data Cleaning #Machine Learning #Recommender Systems #Collaborative Filtering #Image Processing #Segmentation #Regularization

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