ML Synapses - AI/ML in TensorFlow

My notes, code, and resources from DeepLearning.AI

Machine learning and neural networks using TensorFlow.

Scope:

• Learn TensorFlow, an open-source machine learning framework to train a neural network for computer vision problem sets.

• Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.

• Build natural language processing systems using TensorFlow.

• Applying RNNs, GRUs, and LSTMs and train them using text repositories.

In a nutshell, this is all meant to build, train, and optimize deep neural networks and to improve model performance with advanced techniques. Specific areas covered include Computer Vision, Natural Language Processing, and Time Series Analysis.

- Introduction to TensorFlow for AI, ML, and DL 
- Convolutional Neural Networks in TensorFlow 
- Natural Language Processing in TensorFlow 
- Sequences, Time Series, and Prediction

Instruction:

Jupyter notebooks everywhere :)
Credit - DeepLearning.AI | Andrew Ng | Laurence Moroney