DeepLearning.AI TensorFlow Developer Professional Certificate

DeepLearning.AI TensorFlow Developer Professional Certificate on Coursera

All slides are from : DeepLearning.AI

Course 1: Introduction to TensorFlow for AI, ML and DL

This first course introduces you to Tensorflow, a popular machine learning framework. You will learn how to build a basic neural network for computer vision and use convolutions to improve your neural network.

Week 1: A New Programming Paradigm

Week 2: Introduction to Computer Vision

Week 3: Enhancing Vision with Convolutional Neural Networks

Week 4: Using Real-World Images

Course 2: Convolutional Neural Networks in TensorFlow

This second course teaches you advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropouts. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.

Week 1: Exploring a Larger Dataset

Week 2: Augmentation, a Technique to Avoid Overfitting

Week 3: Transfer Learning

Week 4: Multi-class Classifications

Course 3: Natural Language Processing in TensorFlow

In this third course, you’ll learn how to apply neural networks to solve natural language processing problems using TensorFlow. You’ll learn how to process and represent text through tokenization so that it’s recognizable by a neural network. You’ll be introduced to new types of neural networks, including RNNs, GRUs and LSTMs, and how you can train them to understand the meaning of text. Finally, you’ll learn how to train LSTMs on existing text to create original poetry and more!

Week 1: Sentiment in Text

Week 2: Word Embeddings

Week 3: Sequence Models

Week 4: Sequence Models and Literature

Course 4: Sequences, Time Series, and Prediction

In this fourth course, you will learn how to solve time series and forecasting problems in TensorFlow. You’ll first implement best practices to prepare data for time series learning. You’ll also explore how RNNs and ConvNets can be used for predictions. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data!

Week 1: Sequences and Prediction

Week 2: Deep Neural Networks for Time Series

Week 3: Recurrent Neural Networks for Time Series

Week 4: Real-world Time Series Data