Deep Learning for Beginners in Python: Work On 12+ Projects

The Artificial Intelligence and Deep Learning are growing exponentially in today’s world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat–bots, Image Recognition, Virtual Assistance, ALEXA, so on…

With this course you will understand the complexities of Deep Learning in easy way, as well as you will have A Complete Understanding of Googles TensorFlow 2.0 Framework

TensorFlow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes and Performance

In TensorFlow 2.0 you can start the coding with Zero Installation, whether you’re an expert or a beginner, in this course you will learn an end–to–end implementation of Deep Learning Algorithms

List of the Projects that you will work on,

Part 1: Artificial Neural Networks (ANNs)

Project 1: Multiclass image classification with ANN

Project 2: Binary Data Classification with ANN

Part 2: Convolutional Neural Networks (CNNs)

Project 3: Object Recognition in Images with CNN

Project 4: Binary Image Classification with CNN

Project 5: Digit Recognition with CNN

Project 6: Breast Cancer Detection with CNN

Project 7: Predicting the Bank Customer Satisfaction

Project 8: Credit Card Fraud Detection with CNN

Part 3: Recurrent Neural Networks (RNNs)

Project 9: IMDB Review Classification with RNN – LSTM