DeepLearning.AI TensorFlow Developer Specialization


In this specialization, students get a grounding in what they need to get started with TensorFlow: In Practice. The goal is to help students take the next steps, such as going deeper into understanding Machine Learning and the practice of understanding loss functions, optimizers and more, or perhaps know more about neural networks and the different types of layers, from convolutions to recurrent or LSTM. Students use see first-hand, the impact of different layer types in practice.

The specialization has 5 courses:

  1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
  2. Convolutional Neural Networks in TensorFlow
  3. Natural Language Processing in TensorFlow
  4. Sequences, Time Series and Prediction
Aditya Jyoti Paul
Aditya Jyoti Paul
Computer Vision and Image Encryption Researcher

My work makes machines smarter, secure and more accessible. I’m passionate about research, teaching and blogging. Outside academia, I love travel, music, reading and meeting new people!