DL with Python

DL with Python

1. 1- Introduction

   • 1- DL the wrong way
   • 2- Requirements
   • 3- Introduction to TensorFlow & Theano
   • 4- Wrappers
   • 5- Keras
   • 6- AWS
   • 7- Multilayer Perceptrons

2. 2- Background___MLP

   • 1- Develop your first neural network with Keras
   • 2- Evaluate the performance of DL Models
   • 3- Project_Multiclass Classification Of Flower Species
   • 4- Project_Binary Classification Of Sonar Returns
   • 5- Project_Regression Of Boston House Prices

3. 3- Advanced__MLP and Keras

   • save and load Keras model weights to HDF5 formatted files
   • save and load Keras model structure to
     • JSON
     • YAML

4. 4_Convolutional Neural Networks

   • 1_Crash Course In Convolutional Neural
   • 2_Project_Handwritten Digit Recognition
   • 3_Improve Model Performance With Image Augmentation
   • 4_Project Object Recognition in Photographs
   • 5_Project Predict Sentiment From Movie Reviews

5. RNN

   • 1_Crash Course In Recurrent Neural
   • 2_Time Series Prediction with Multilayer Perceptrons
   • 3_Time Series Prediction with LSTM Recurrent Neural Networks
   • 4_Project Sequence Classification of Movie Reviews
   • 5_Understanding Stateful LSTM Recurrent Neural Networks
   • 6_Project Text Generation With Alice in Wonderland