Introduction | Deep Learning Tutorial 1 (Tensorflow2.0, Keras & Python)


With this video, I am beginning a new deep learning series for total beginners. I will cover following things in this series,
1. Explain neural network concepts in most easiest way
2. Go over math if needed, otherwise keep the tutorials simple and easy
3. Provide exercises that you can practice on
4. Use python, keras and tensorflow mainly. I might cover pytorch as well
5. Cover convolutional neural network (CNN) for image and video processing
6. Cover recurrent neural network (RNN) for sequential analysis and natural language processing (NLP)

Next video: https://www.youtube.com/watch?v=yfsTZbwgMSE&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=2

Playlist for this deep learning series: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO

Prerequisites for this series:
   1: Python tutorials (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0   
   2: Pandas tutorials(first 8 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
   3: Machine learning playlist (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw 

Special thanks to NVIDIA for gifting me Titan RTX GPU. This is Nvidia's top of the line, very powerful GPU that can make running deep learning jobs super fast. I am planning to make tutorials in future where I can utilize this GPU to benchmark deep learning training jobs. Here is more information on this GPU: https://www.nvidia.com/en-us/deep-learning-ai/products/titan-rtx/