All Pro Web Designs > > Learning Tutorials > Programming Languages > Python > Tensorflow Tutorial for Python in 10 Minutes
Tensorflow Tutorial for Python in 10 Minutes
- February 5, 2024
- Posted by: MainInstructor
- Category: Python
Video Title: Tensorflow Tutorial for Python in 10 Minutes
-
Sale!
Wireless WIFI Repeater Extender Amplifier Booster 300Mbps
$29.99$14.99 Add to cartWireless WIFI Repeater Extender Amplifier Booster 300Mbps
Categories: Electronics, Wi-Fi Router, Wireless Wi-Fi Extender Tags: 300Mbps, 802.11N, Amplifier, Booster, Extender, mobile wi-fi booster, Remote, WIFI, Wireless, Wireless WIFI, Wireless WIFI Repeater, Wireless WIFI Repeater Extender, Wireless WIFI Repeater Extender Amplifier, Wireless WIFI Repeater Extender Amplifier Booster, Wireless WIFI Repeater Extender Amplifier Booster 300Mbps$29.99$14.99 -
Sale!
Full RGB Light Design Gaming Headset Headphones with Mic
$24.99$14.99 Add to cartFull RGB Light Design Gaming Headset Headphones with Mic
Categories: Electronics, Gaming, Gaming Headsets Tags: Design, Full, Full RGB Light Design Gaming Headset, Full RGB Light Design Gaming Headset Headphones, Full RGB Light Design Gaming Headset Headphones with Mic, Gamer, Gaming, Gaming Headset Headphones, gaming headset wireless, Headphone, Headphones, Headset, Light, Mic, Package, RGB$24.99$14.99 -
Sale!
Wireless BlueTooth Multi-Device Keyboard Mouse Combo
$39.99$19.99 Add to cartWireless BlueTooth Multi-Device Keyboard Mouse Combo
Categories: Electronics, Gaming, Gaming Keyboards, Keyboard Mouse Combos Tags: Combo, Keyboard, keyboard mouse combos, Mouse, MultiDevice, Set, WireKeyboard Mouse Combo, Wireless, Wireless BlueTooth Keyboard Mouse Combo, Wireless BlueTooth Keyboard Mouse Combos, Wireless BlueTooth Multi-Device Keyboard Mouse Combo, Wireless BlueTooth Multi-Device Keyboard Mouse Combos$39.99$19.99 -
Sale!
High Back Leather Executive Adjustable Swivel Gaming Chair with Headrest and Lumbar
$199.99$139.99 Add to cartHigh Back Leather Executive Adjustable Swivel Gaming Chair with Headrest and Lumbar
Categories: Gaming, Gaming Chairs Tags: Adjustable, Chair, computer chairs, Desk, Executive, Gaming, Girl, Headrest, High, High Back Leather Executive Adjustable Swivel Gaming Chair, High Back Leather Executive Adjustable Swivel Gaming Chair with Headrest, High Back Leather Executive Adjustable Swivel Gaming Chair with Headrest and Lumbar, High Back Leather Executive Adjustable Swivel Gaming Chairs, Leather, Lumbar, Office, Racing, Swivel$199.99$139.99 -
Sale!
Professional LED Light Wired Gaming Headphones with Noise Cancelling Microphone
$29.99$19.99 Select optionsProfessional LED Light Wired Gaming Headphones with Noise Cancelling Microphone
SKU: N/A Categories: Electronics, Gaming, Gaming Headsets Tags: Cancelling, Gaming, Gaming Headphones with Noise Cancelling Microphone, gaming headset, Headphones, Headset, LED, Light, Mic, Microphone, Noise, Professional, Professional LED Light Wired Gaming Headphones, Professional LED Light Wired Gaming Headphones with Noise Cancelling Microphone, Wired, Wired Gaming Headphones, Wired Gaming Headphones with Noise Cancelling Microphone$29.99$19.99 -
Sale!
Gaming Desk with LED Lights USB Power Outlets and Charging Ports
$349.99$249.99 Select optionsGaming Desk with LED Lights USB Power Outlets and Charging Ports
SKU: N/A Categories: Computer Desk, Gaming, Gaming Desk Tags: and Charging Ports, Charging, Desk, Desks, Gaming, gaming desk with led lights, Gaming Desks with LED Lights, Home, LED, Lights, Monitor, Office, Outlets, Port, Power, Room, Stand, USB, USB Power Outlets, White, Workstation$349.99$249.99 -
Sale!
Wired Mixed Backlit Anti-Ghosting Gaming Keyboard
$99.99$79.99 Add to cartWired Mixed Backlit Anti-Ghosting Gaming Keyboard
Categories: Electronics, Gaming, Gaming Keyboards Tags: Antighosting, Backlit, Blue, brown, Gaming, Gaming Keyboard, gaming keyboards, gaming keyboards and mouse, Keyboard, Laptop, Switch, Wired, Wired Mixed Backlit Anti-Ghosting Gaming Keyboard, Wired Mixed Backlit Anti-Ghosting Gaming Keyboards, Wired Mixed Backlit Gaming Keyboard$99.99$79.99 -
Sale!
Wireless Bluetooth 5.3 ANC Noise Cancellation Hi-Res Over the Ear Headphones Headset
$119.99$59.99 Add to cartWireless Bluetooth 5.3 ANC Noise Cancellation Hi-Res Over the Ear Headphones Headset
Categories: Electronics, Gaming, Gaming Headsets Tags: 5.3 ANC Noise Cancellation Hi-Res Over the Ear Headphones Headset, ANC, Audio, Bluetooth, Cancellation, Ear, Earphone, gaming headset, Headphones, Headset, Hi-Res Over the Ear Headphones Headset, HiRes, Noise, Wireless, Wireless Bluetooth 5.3 ANC Noise Cancellation Hi-Res Headphones, Wireless Bluetooth 5.3 ANC Noise Cancellation Hi-Res Over the Ear Headphones Headset, Wireless Bluetooth 5.3 ANC Noise Cancellation Hi-Res Over the Ear Headphones Headsets$119.99$59.99 -
Sale!
Wired Sports Gaming Headset Earbuds with Microphone
$19.99$9.99 Select optionsWired Sports Gaming Headset Earbuds with Microphone
SKU: N/A Categories: Gaming, Gaming Headsets Tags: Accessories, Earbud, Earphone, Earphones, Gaming, gaming headset with microphone, Headphones, Headset, IOS, Microphone, Sports, Wired, Wired Sports Gaming Headset Earbuds, Wired Sports Gaming Headset Earbuds with Microphone, Wired Sports Headset Earbuds$19.99$9.99 -
Sale!
150W Universal Multi USB Fast Charger 16 Port MAX Charging Station
$49.99$29.99 Add to cart150W Universal Multi USB Fast Charger 16 Port MAX Charging Station
Categories: Charging Stations, Electronics Tags: 150W, 150W Charging Station, 150W Universal Multi USB Charging Station, 150W Universal Multi USB Fast Charger 16 Port MAX Charging Station, 150W Universal Multi USB Fast Charger 16 Port MAX Charging Stations, 150W Universal Multi USB MAX Charging Station, 16 Port MAX Charging Station, 3.5A, Charger, Charging, Fast, laptop charging stations, Max, Multi, Port, Stand, Station, Universal, USB$49.99$29.99
Very helpful
Exactly what I am looking for. Something straight forward
When i tried to run through this exercise i ran into an issue:
model.fit(X_train, y_train, epochs=200, batch_size=32)
gives errorValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int).
So to get around this – I converted X and y train to float32
X_train = X_train.astype('float32')
y_train = y_train.astype('float32')
Later i ran into a similar issue with:
y_hat = model.predict(X_test)
y_hat = [0 if val < 0.5 else 1 for val in y_hat]
So again – converted X_test = X_test.astype('float32')
Everything seemed to complete as expected with 0.79 accuracy score.
Thoughts?
Please help. I ran the tutorial in google colab, got the model out to drive, then back into the colab notebook.
I dont understand what i am supposed to do with the model once it's ready.
This tutorial doesnt like, open it up and look at what it learned.
Can someone please offer guidance?
Why 32 and 64 units in the dense layers? How to know the no. of neurons to have in my NN layers?
I got this problem:
—————————————————————————
TypeError Traceback (most recent call last)
Cell In[67], line 1
—-> 1 model.fit(X_train, y_train, epochs=200, batch_size=32)
File ~anaconda3libsite-packageskerassrcutilstraceback_utils.py:70, in filter_traceback.<locals>.error_handler(*args, **kwargs)
67 filtered_tb = _process_traceback_frames(e.__traceback__)
68 # To get the full stack trace, call:
69 # `tf.debugging.disable_traceback_filtering()`
—> 70 raise e.with_traceback(filtered_tb) from None
71 finally:
72 del filtered_tb
File ~AppDataLocalTemp_autograph_generatedfilese6h2ia9.py:15, in outer_factory.<locals>.inner_factory.<locals>.tf__train_function(iterator)
13 try:
14 do_return = True
—> 15 retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
16 except:
17 do_return = False
TypeError: in user code:
File "C:Userslucca_1fanaconda3libsite-packageskerassrcenginetraining.py", line 1338, in train_function *
return step_function(self, iterator)
File "C:Userslucca_1fanaconda3libsite-packageskerassrcenginetraining.py", line 1322, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "C:Userslucca_1fanaconda3libsite-packageskerassrcenginetraining.py", line 1303, in run_step **
outputs = model.train_step(data)
File "C:Userslucca_1fanaconda3libsite-packageskerassrcenginetraining.py", line 1085, in train_step
return self.compute_metrics(x, y, y_pred, sample_weight)
File "C:Userslucca_1fanaconda3libsite-packageskerassrcenginetraining.py", line 1179, in compute_metrics
self.compiled_metrics.update_state(y, y_pred, sample_weight)
File "C:Userslucca_1fanaconda3libsite-packageskerassrcenginecompile_utils.py", line 605, in update_state
metric_obj.update_state(y_t, y_p, sample_weight=mask)
File "C:Userslucca_1fanaconda3libsite-packageskerassrcutilsmetrics_utils.py", line 77, in decorated
update_op = update_state_fn(*args, **kwargs)
File "C:Userslucca_1fanaconda3libsite-packageskerassrcmetricsbase_metric.py", line 140, in update_state_fn
return ag_update_state(*args, **kwargs)
File "C:Userslucca_1fanaconda3libsite-packageskerassrcmetricsbase_metric.py", line 723, in update_state **
matches = ag_fn(y_true, y_pred, **self._fn_kwargs)
TypeError: 'str' object is not callable
What am i doing wrong?
u skipped the most important part: EDA!!!
I hate github, never finding, what I am searching for😅 Where to get a free SDK for C++ and Tensorflow from? 🎉
your videos are really helping man! appreciate it!
Excellent video, this was short, very clear, and easy follow. Great job, and thank you for this!
bro "-" u r the best
Great video, Nicholas.
Could someone help me write tensorflow code to recognize circle and triangle shapes? If I show him a photo, he will tell me what it is?
How to fix AttributeError: module 'numpy' has no attribute 'object' while importing tensorflow?
This one video made me subscrib immediately to your channel and like all videos of you ! so perfect and time saving
Nice, thanks.
This is the most amazing tutorial I have ever watched. I'm not ashamed to say I sometimes require extra explaining but this guy is just spot on with his explanations.
Perfect introduction, thanks a lot! Got me over that first big hurdle
Love This!
9:09 "we got a bunch of zeros and ones" THAT sums it up the video well 🥴😵😥
what is the version of tensorflow please ?
University of data 🤣🤣😂🤣😂🤣😂
Lately I've been developing a large Tensorflow model, and I'm getting out of memory errors, from what I've learned it seems the best solution to this road block is gradient checkpointing, however there is little to no resources online about it. Could you make a video covering gradient checkpointing?
You are amazing!
I don't understand these 2 lines from section 0 Import data:
➡ X = pd.get_dummies (df.drop(['Churn', 'Customer ID'], axis=1))
➡ X_train, X_test, y_train, y_test = train_test_split (X, y, test_size=.2)
What's the difference between X_train and X_test?
I have a question. I have heard that for deep learning models or for computer vision we use Tensorflow or Pytorch. So my question is that please explain to me whether these are some applications like visual studio code or are these some kind of add ons or extensions (packages to install that work on different applications)? Actually I am new in the field. Also what Jupyter Notebook, How is it related to these ?
It is great as ocean in a bucket.
This video is awesome, I have two questions because I'm new in Tensorflow,
1- Do we need to encode numeric data in the data sheet before we start building the model?, because I didn't see that in the video.
2- How we can map the prediction results 0, 1 to Yes, No as per the data sheet?
Great video, veeery instructive and useful. ¡Gracias!
Hey guys if your trying out this video in 2023 July like me you need this line changed for it to run X = pd.get_dummies(df.drop(['Churn', 'Customer ID'], axis=1), dtype=float)
the dtype=float is the most important was trying to figure why it wouldn't train all morning and just cracked it.
Subbed! The video is so good!
Cheers mate u are doing brilliant things!
Understood one word out of 5, but this will for sure make me wants to work with it.
I really like the summing in the video. but I am stuck here!
I get the error "Failed to convert a numpy array to a tensor" I tried..
#import numpy
#y_train = torch.from_numpy(y_train.to_numpy()) #for at konvertere fra panda-arrays til numpy-arrays
#X_train = torch.from_numpy(X_train) #for at konvertere fra panda-arrays til numpy-arrays
from tensorflow import convert_to_tensor
#y_train = y_train.to_numpy() #for at konvertere fra panda-arrays til numpy-arrays
#X_train = X_train.to_numpy() #for at konvertere fra panda-arrays til numpy-arrays
y_train = convert_to_tensor(y_train)
X_train = convert_to_tensor(X_train)
And I keep getting the same errors now when using the convert_to_tensor() function
warum nixxes dutsch
Yeh,It's Really helpful ,Thank you for the video
Thank you for sharing. Your video has helped me learn a little more about TensorFlow with Python. 13may23
If you added more dense layers would the model be able to predict better?