Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

This course will teach you how to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn how to prepare and process data for artificial neural networks, build and train artificial neural networks from scratch, build and train convolutional neural networks (CNNs), implement fine-tuning and transfer learning, and more!

⭐️🦎 COURSE CONTENTS 🦎⭐️
⌨️ (00:00:00) Welcome to this course
⌨️ (00:00:16) Keras Course Introduction
⌨️ (00:00:50) Course Prerequisites
⌨️ (00:01:33) DEEPLIZARD Deep Learning Path
⌨️ (00:01:45) Course Resources
⌨️ (00:02:30) About Keras
⌨️ (00:06:41) Keras with TensorFlow - Data Processing for Neural Network Training
⌨️ (00:18:39) Create an Artificial Neural Network with TensorFlow's Keras API
⌨️ (00:24:36) Train an Artificial Neural Network with TensorFlow's Keras API
⌨️ (00:30:07) Build a Validation Set With TensorFlow's Keras API
⌨️ (00:39:28) Neural Network Predictions with TensorFlow's Keras API
⌨️ (00:47:48) Create a Confusion Matrix for Neural Network Predictions
⌨️ (00:52:29) Save and Load a Model with TensorFlow's Keras API
⌨️ (01:01:25) Image Preparation for CNNs with TensorFlow's Keras API
⌨️ (01:19:22) Build and Train a CNN with TensorFlow's Keras API
⌨️ (01:28:42) CNN Predictions with TensorFlow's Keras API
⌨️ (01:37:05) Build a Fine-Tuned Neural Network with TensorFlow's Keras API
⌨️ (01:48:19) Train a Fine-Tuned Neural Network with TensorFlow's Keras API
⌨️ (01:52:39) Predict with a Fine-Tuned Neural Network with TensorFlow's Keras API
⌨️ (01:57:50) MobileNet Image Classification with TensorFlow's Keras API
⌨️ (02:11:18) Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API
⌨️ (02:24:24) Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API
⌨️ (02:38:59) Data Augmentation with TensorFlow' Keras API
⌨️ (02:47:24) Collective Intelligence and the DEEPLIZARD HIVEMIND

⭐️🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎⭐️

👉 Check out the blog post and other resources for this course:

💻 DOWNLOAD ACCESS TO CODE FILES
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[paulmcwhorter]

This was an excellent instruction set. Really appreciate all the work on it.

[michaelbyron]

Mandy, your are a very gifted instructor. There have been hundreds of instructors in my life and your are the BEST!

[palashkadam]

Thank you Mandy. This was a great tutorial or insight given on deep learning. This is surely the best one I have seen on YouTube. Thanks a lot again for your efforts 😊

[adamkatav]

This is the first long tutorial I watched from start to finish and it says a lot! Thank you very much!!!

[isingcauseimliving]

Thank you Deeplizard and Free Code Camp. Its a great tutorial and a good video. I have been learning ML and DL, started out recently. However, its only after seeing this video that I know that I think I have the confidence to carry out something on my own, now. Thank you to the Keras and TF2 team as well.

[eismccc]

You are so incredibly easy to listen to for hours on end, very well done I look forward to learning a bunch more from these videos

[avidreader]

My first formal introduction to Keras. Half way through. Did not think I will make it this far without difficulty. Your narration style is not a chatty style. It is more like a professional news reader. But your script anticipates everything and preempts the questions that arise in the mind. That makes it effective. Will continue again tomorrow.

[NikhilSandella]

Finally, the wait ended. Thanks guys. Lots of love!

[takauyamurengwa]

Dear Lady DeepLizard,
Thank you so much for the energy, time and thought you've putting this course! I have benefited a lot from your channel,

[mubashshiralibaig]

Thank You So Much for this in-depth hands on deep learning experience

[tanguerok]

Your multi-API approach (plus CPU/GPU heads up) was indeed a major factor to consider while choosing a source of insight into Keras. Thank you for the thorough and very well presented content.

[qaw]

Such a detailed and amazingly designed course. Covered every question I had in mind!.

[devangjoshi]

Incredible video! Very well taught with clear explanations for all the different concepts. This has allowed me to put my first foot through the door to understand Keras/TensorFlow!

[veenasingh]

insane, thanks mandy for your great explanation, also really loved the background scenery of the video . <3

[jjrossphd]

Thanks for a well prepared, well organized, professional presentation. GREATLY appreciated

[raghavbhardwaj]

I cant describe in words how much this video helped me with my research project! You are a great teacher, Thankyou so much!

[md.fazleyrafy]

26:16, the parameter "learning_rate" has been renamed to "lr" from version 2.2.* to 2.3.0 in September 2018

[zhenhuahuang]

This is a great tutorial for Keras image classification. Can you do a similar one for object detection using Keras? That would be very helpful.

[KeithMakank]

Very good intro example, easy to setup problem can be tweaked to explore more and doesn't require pictures or strange formats and other downloads.

[satu]

You’re a great teacher! This was perfect, learned a lot in a short time.