Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
With this video, I am beginning a new deep learning tutorial series for total beginners. In this deep learning tutorial python, 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)
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#deeplearningwithpython #deeplearning #deeplearningtensorflow #deeplearningtutorialpython #deeplearningtutorial #deeplearningbegininer
Next video: • Why deep learning is becoming so popular? ...
Playlist for this deep learning series: • Deep Learning With Tensorflow 2.0, Keras a...
Prerequisites for this series:
1: Python tutorials (first 16 videos): • Python 3 Programming Tutorials for Beginners
2: Pandas tutorials(first 8 videos): • Pandas Tutorial (Data Analysis In Python)
3: Machine learning playlist (first 16 videos): • Machine Learning Tutorial Python | Machine...
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-lea...
Keywords: Tensorflow tutorial, Deep Learning tutorials, TensorFlow tutorial for beginners, deep learning tutorials for beginners
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En esta página del sitio puede ver el video en línea Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python) de Duración hora minuto segunda en buena calidad , que subió el usuario codebasics 01 enero 1970, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 1,035,486 veces y le gustó 12 mil a los espectadores. Disfruta viendo!
