Deep Learning: Convolutional Neural Networks in Python - Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning
The course you mentioned is about Deep Learning Convolutional Neural Networks and it is available on Udemy. It covers the following topics:
- Introduction to Deep Learning and Convolutional Neural Networks
- Theano and TensorFlow libraries
- Building a Convolutional Neural Network (CNN) in Theano and TensorFlow
- Training a CNN using Backpropagation
- Fine-tuning a pre-trained CNN
- Visualizing CNNs
What you'll learn
- Understand convolution and why it's useful for Deep Learning
- Understand and explain the architecture of a convolutional neural network (CNN)
- Implement a CNN in TensorFlow 2
- Apply CNNs to challenging Image Recognition tasks
- Apply CNNs to Natural Language Processing (NLP) for Text Classification (e.g. Spam Detection, Sentiment Analysis)
Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA
The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code
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