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| Name | Train a CNN on Google colab | MNIST Digit classifier - Deep learning codes |
| Video Uploader | Video From Lesson LogiCS |
| Upload Date | This Video Uploaded At 29-01-2021 12:23:54 |
| Video Discription | This video shows a demo code of the MNIST digit classifier using convolution neural networks (CNN). Further, It shows how to use GPU on google colab for training a convolutional neural network. Google colab can help in practicing the implementation of deep learning models. Google colab helps in faster training of a deep learning model. DCGAN from scratch pytorch implementation | Fake faces using generative models :-https://youtu.be/MESyIGQIbQo Pytorch tutorial - Digit classification | MNIST Digit classification using ANN :-https://youtu.be/5o3gLcv14eA Playlist of Deep Learning:-https://youtube.com/playlist?list=PLCVV78b4CEE5Wb9zn49VMle1stNWrpzV7 mnist CNN #deeplearning #colab #mnistcnn |
| Category | Education |
| Tags | lesson logics | google colab | Deep Learning tensorflow | training on colab | Train CNN on colab | tensorflow from scratch | tensorflow tutorials | tensorflow example | tensorflow for beginners | tensorflow full course | tensorflow GPU | tensorflow projects | tensorflow and keras | tensorflow and pytorch | tensorflow handwriting recognition | mnist tensorflow 2.0 | mnist best accuracy | mnist best model | mnist cnn | logic pro x | CNN | tensor flow | tensorflow 13 min | code for tensorflow |
